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May 13, 2026

Oakland, CA

|

Programmer / Developer

|

Contract

|

$30 - $38 (hourly estimate)

{"JobID":530204,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.27,"Longitude":37.8,"Distance":null},"State":"California","Zip":"94612","ReferenceID":"SFR-daed1139-dc26-460f-a54f-c46b30f9c921","PostedDate":"\/Date(1778706877000)\/","Description":"The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, analytic products, which includes data applications, reports, and dashboards. We are looking for a proactive, detail-oriented, and motivated individual who can thrive in a fast-paced environment and help us scale our analytic product development to meet our clients\u0027 ever-evolving needs. The data engineer will collaborate with our cross functional team including solution architects, data pipeline engineers, data analysts, and data scientists on mission critical initiatives and will ensure optimal delivery of analytic products. You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation?s most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG\u0026E?s sustainability goals.?Work closely with Subject Matter Experts (SMEs) to design and develop data model, data pipelines and front end applications.?Implement data transformations to derive new datasets or create ontology objects necessary for business applications.?Monitor and debug critical issues such as data staleness or data quality?Improve on performance of data pipelines (latency, resource usage)?Implement operational applications ?Maintain applications as usage grows and requirements change.?Act as scrum delivery team member where applicable, work in collaboration with other Data Engineers / Scientists as needed.?Help the Product Development Lead Data Analyst / Scientist to design data pipelines and user Interface applications as needed.?Contribute to creating and maintaining the project backlog in JIRA to design and develop against agreed upon scope by Technical Lead and Product Manager (as applicable).?Participate in design and specifications, algorithm, data modeling design and the associated research/analysis work and interviewing of SMEs where necessary.?Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data mgt \u0026 development platform.?Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline.?Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification.?Manage your user stories or Tasks in JIRA, split them as needed, document acceptance criteria and progress as needed to provide transparency and enable collaboration.?Work and deliver against select user stories/tasks following the AKM Product Development lifecycle.?Help with bug fixes and enhancement requests.?Join team ceremonies including daily standup, Kanban/Sprint planning, Demos.?Follow development using an agile approach to focus on business value.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer Intern","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor\u0027s Degree in Computer Science, Engineering, or a related field.?4 years of experience as a data engineer or in a similar role?Hands-on experience with building data pipelines from ingestion to final object delivery.?Experience with developing analytic applications, reports, or dashboards?Experience in using no- and low-code tools for developing analytic applications?Strong SQL skills and experience working with large datasets and complex data structures.?Complete proficiency in Python and or Pyspark?Experience in Typescript (preferred) or Javascript?Excellent problem-solving and analytical skills with a strong attention to detail.","Skills":"","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":38.0000,"SalaryLow":30.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential... role in the design, development, and maintenance of data pipelines, analytic products, which includes data applications, reports, and dashboards. We are looking for a proactive, detail-oriented, and motivated individual who can thrive in a fast-paced environment and help us scale our analytic product development to meet our clients' ever-evolving needs. The data engineer will collaborate with our cross functional team including solution architects, data pipeline engineers, data analysts, and data scientists on mission critical initiatives and will ensure optimal delivery of analytic products. You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation?s most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E?s sustainability goals.?Work closely with Subject Matter Experts (SMEs) to design and develop data model, data pipelines and front end applications.?Implement data transformations to derive new datasets or create ontology objects necessary for business applications.?Monitor and debug critical issues such as data staleness or data quality?Improve on performance of data pipelines (latency, resource usage)?Implement operational applications ?Maintain applications as usage grows and requirements change.?Act as scrum delivery team member where applicable, work in collaboration with other Data Engineers / Scientists as needed.?Help the Product Development Lead Data Analyst / Scientist to design data pipelines and user Interface applications as needed.?Contribute to creating and maintaining the project backlog in JIRA to design and develop against agreed upon scope by Technical Lead and Product Manager (as applicable).?Participate in design and specifications, algorithm, data modeling design and the associated research/analysis work and interviewing of SMEs where necessary.?Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data mgt & development platform.?Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline.?Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification.?Manage your user stories or Tasks in JIRA, split them as needed, document acceptance criteria and progress as needed to provide transparency and enable collaboration.?Work and deliver against select user stories/tasks following the AKM Product Development lifecycle.?Help with bug fixes and enhancement requests.?Join team ceremonies including daily standup, Kanban/Sprint planning, Demos.?Follow development using an agile approach to focus on business value.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 13, 2026

Saskatoon, SK

|

Data Warehousing

|

Contract

|

$34 - $42 (hourly estimate)

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Insight Global is looking for a Data Scientist for a 6 month contract with a high possibility of extensions. A successful candidate must be able to travel to Rocanville 1-2 times a week. This... individual will contribute to the development, deployment, and sustainment of robust and precise optical tracker and sensor fusion solutions. This role will focus on integrating data with RGB cameras, Lidar, and Radar, with the goal to drive operational efficiencies and intelligent automation in mining and industrial environments.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 06, 2026

Suffolk, VA

|

Accounting / Finance

|

Contract

|

$76 - $95 (hourly estimate)

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Insight Global is seeking a Data Scientist I to support a large Navy program.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic... selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 22, 2026

Lynchburg, VA

|

Software Engineering

|

Contract

|

$57 - $71 (hourly estimate)

{"JobID":544154,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-79.19,"Longitude":37.4,"Distance":null},"State":"Virginia","Zip":"24502","ReferenceID":"NOR-25f5a4e7-3f07-402b-acc2-eaf17680d8fd","PostedDate":"\/Date(1782159823000)\/","Description":"Pay Range $40/hr-$60/hrYou will work as an ML systems engineer building software for non-destructive testing in the nuclear industry, including visual, ultrasonic, eddy current, and other inspection-data workflows. Your role will be to support the development of ML workflows by ensuring that they can be deployed in reproducible, stable workflows for pilot use.This is not a pure data scientist role and is not focused on core model research. The primary focus is ML system integration, deployment, reproducibility, and infrastructure-aware engineering in constrained environments.Early GrowthExpected after 3?6 months; used to rank, not reject.? Begins standardizing deployment and reproducibility practices across multiple projects to shorten setup time for future work.? Contributes informed input into architectural decisions related to artifact storage, configuration patterns, and pipeline structure in collaboration with data scientists.? Identifies recurring integration challenges with legacy systems and proposes pragmatic improvements within existing ownership boundaries.? Develops stronger intuition for failure modes in pilot deployments and proactively mitigates them before field testing.? Builds practical working knowledge of secure, air-gapped, or on-prem deployment realities, including dependency management, offline install processes, storage limitations, permissions, and data-access constraints.? Helps data scientists move workflows from exploratory development into stable, repeatable pilot deployments.Long-Term DevelopmentDirection-setting; tie-breaker between strong candidates.? Takes ownership of reproducibility and deployment standards across multiple projects. Moves from stabilizing individual workflows to defining consistent conventions for configuration management, artifact handling, and pilot deployment that reduce setup time and ambiguity for future projects.? Begins shaping integration boundaries in collaboration with Applied ML Engineers, data scientists, and legacy system owners. Contributes to defining stable training and inference interfaces, data contracts, and runtime assumptions that reduce coupling and minimize future rewrite risk.? Proactively identifies and mitigates recurring failure modes in pilot environments.? Develops intuition for hardware variability, data inconsistencies, runtime edge cases, and integration friction, and introduces pragmatic safeguards and diagnostics before issues surface in field testing.? Helps define practical standards for ML workflow deployment in secure nuclear inspection environments where data ownership, network segmentation, limited cloud access, and customer-controlled datasets shape system design.? Supports the long-term maturation of ML systems infrastructure without becoming responsible for enterprise-scale data lake ownership or broad organizational cloud architecture.You?ll collaborate with subject-matter experts and data scientists to validate solutions and follow best practices for packaging, observability, and integration into existing systems. This role will help productize ML workflows so they can operate reliably outside exploratory notebooks and within secure, on-prem, limited-cloud, or air-gapped environments.Early projects will have well-defined scopes focused on technical execution, with more flexibility and responsibility for shaping deployment patterns as the team grows.The work may involve binary inspection data such as images, video, signals, ultrasonic data, eddy current data, and other scientific or industrial formats. The role will also require awareness of networking, hardware, data architecture, and deployment limitations in secure environments.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Software Engineer II, Machine Learning Systems","City":"Lynchburg","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s degree in Computer Science, Physics, Software Engineering, Applied Mathematics, Data Science, or equivalent degrees with the appropriate technical background; advanced degrees, including MS or PhD, welcome but not expected.? 2?5 years of professional software engineering experience, with at least 1 of those years in a hands-on role in a machine learning engineering, ML systems, platform engineering, systems engineering, DevOps, or data engineering context.? Demonstrated experience packaging, deploying, or supporting data-driven or ML-based Python systems beyond exploratory notebooks across Windows and Linux environments.? Comfortable working in on-prem, air-gapped, regulated, or otherwise constrained systems.? Experience with deployment-focused engineering practices such as environment isolation, dependency management, reproducible execution, data versioning, artifact management, ETL/ELT pipelines, and operational support for ML or data-driven workflows? Familiarity with secure or constrained infrastructure where cloud usage may be limited or unavailable? Practical understanding of how networking, hardware, storage, data movement, and runtime constraints affect ML workflow deployment.","Skills":"Preferred Skills? Build data adapters or ETL/ELT workflows to convert legacy scientific/industrial formats into ML-ready datasets; support local artifact and dataset management in constrained environments.? Work with binary data formats such as images, video, signals, ultrasonic inspection data, eddy current data, and other non-destructive testing outputs? Embed core ML logic into reproducible training and inference pipelines, ensuring clean separation of configuration, integration code, and runtime concerns.? Package and deploy ML code for stable execution in constrained or air-gapped environments, managing dependencies, environment isolation, and offline realities, with deployment targets ranging from edge devices to HPC environments.? Integrate ML workflows with legacy applications by capturing runtime constraints, hardware considerations, and deployment limitations.? Implement structured logging, error handling, and performance tracing to support debugging and diagnostics without overengineering.? Configure and use on-prem object stores, data/versioning tools, and model synchronization workflows.? Support local or on-prem data and artifact management tools, potentially including MinIO, LakeFS, or similar technologies? Understand the limitations of working with segregated secure networks, customer-owned data, and environments where data movement or reuse may be restricted.Support ML workflow deployment without relying on streaming-data architectures such as Kafka or large-scale cloud data platforms.","Industry":"Software Engineering","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":71.0000,"SalaryLow":56.8000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Pay Range $40/hr-$60/hrYou will work as an ML systems engineer building software for non-destructive testing in the nuclear industry, including visual, ultrasonic, eddy current, and other... inspection-data workflows. Your role will be to support the development of ML workflows by ensuring that they can be deployed in reproducible, stable workflows for pilot use.This is not a pure data scientist role and is not focused on core model research. The primary focus is ML system integration, deployment, reproducibility, and infrastructure-aware engineering in constrained environments.Early GrowthExpected after 3?6 months; used to rank, not reject.? Begins standardizing deployment and reproducibility practices across multiple projects to shorten setup time for future work.? Contributes informed input into architectural decisions related to artifact storage, configuration patterns, and pipeline structure in collaboration with data scientists.? Identifies recurring integration challenges with legacy systems and proposes pragmatic improvements within existing ownership boundaries.? Develops stronger intuition for failure modes in pilot deployments and proactively mitigates them before field testing.? Builds practical working knowledge of secure, air-gapped, or on-prem deployment realities, including dependency management, offline install processes, storage limitations, permissions, and data-access constraints.? Helps data scientists move workflows from exploratory development into stable, repeatable pilot deployments.Long-Term DevelopmentDirection-setting; tie-breaker between strong candidates.? Takes ownership of reproducibility and deployment standards across multiple projects. Moves from stabilizing individual workflows to defining consistent conventions for configuration management, artifact handling, and pilot deployment that reduce setup time and ambiguity for future projects.? Begins shaping integration boundaries in collaboration with Applied ML Engineers, data scientists, and legacy system owners. Contributes to defining stable training and inference interfaces, data contracts, and runtime assumptions that reduce coupling and minimize future rewrite risk.? Proactively identifies and mitigates recurring failure modes in pilot environments.? Develops intuition for hardware variability, data inconsistencies, runtime edge cases, and integration friction, and introduces pragmatic safeguards and diagnostics before issues surface in field testing.? Helps define practical standards for ML workflow deployment in secure nuclear inspection environments where data ownership, network segmentation, limited cloud access, and customer-controlled datasets shape system design.? Supports the long-term maturation of ML systems infrastructure without becoming responsible for enterprise-scale data lake ownership or broad organizational cloud architecture.You?ll collaborate with subject-matter experts and data scientists to validate solutions and follow best practices for packaging, observability, and integration into existing systems. This role will help productize ML workflows so they can operate reliably outside exploratory notebooks and within secure, on-prem, limited-cloud, or air-gapped environments.Early projects will have well-defined scopes focused on technical execution, with more flexibility and responsibility for shaping deployment patterns as the team grows.The work may involve binary inspection data such as images, video, signals, ultrasonic data, eddy current data, and other scientific or industrial formats. The role will also require awareness of networking, hardware, data architecture, and deployment limitations in secure environments.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 27, 2026

Toronto, ON

|

Computer Engineering

|

Contract

|

$68 - $85 (hourly estimate)

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We are seeking an experienced AI Engineer to lead the design and development of intelligent data solutions focused on credit intake, triage, and decisioning. This role will play a key part in... building proof-of-concepts and scalable AI-driven capabilities within a cloud environment.Key Responsibilities- Design and build AI/ML solutions to support intelligent intake and triage workflows- Develop proof-of-concepts (POCs) and evolve them into production-ready solutions- Implement hyperscale graph-based data models and knowledge graph architectures- Lead data modeling and feature engineering efforts across structured and unstructured datasets- Partner closely with architects and engineering teams to design scalable, enterprise-grade solutions- Contribute hands-on across the full stack of AI development (data ? model ? deployment)- Work independently in an ambiguous, fast-moving environmentWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 24, 2026

Raleigh, NC

|

Project Manager

|

Contract-to-perm

|

$59 - $74 (hourly estimate)

{"JobID":498544,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-78.65,"Longitude":35.82,"Distance":null},"State":"North Carolina","Zip":"27606","ReferenceID":"RAL-aee785fd-e965-44ce-a223-87928155aeb6","PostedDate":"\/Date(1771895124000)\/","Description":"? Manage multiple AI-related projects under the hiring manager\u0027s org? Track progress across engineering + data science teams (~10 people)? Manage long-term initiatives (multi-year)? Coordinate embedding strategy project with 20?30+ cross-functional contributors? Provide weekly updates and progress tracking? No customer-facing work ? only internal stakeholders? Move projects forward proactively, ensure clarity, keep leadership informedWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Project Manager","City":"Raleigh","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5?10 years Project Management experience (ideal)? Strong technical understanding, ideally with AI / ML / GenAI exposure? Ability to understand technical details and track progress with engineers \u0026 data scientists? Strong stakeholder communication? Self-driven, minimal hand-holding? Experience running multi-team, cross-functional initiativesExperience managing multiple projects concurrently","Skills":"? Former developer or data scientist background before PM? Hands-on experience with AI products, AI content pipelines, embeddings? Experience in B2B environmentExperience in multi-year, large-scale data or ML programs","Industry":"Project Manager","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":74.0000,"SalaryLow":59.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

? Manage multiple AI-related projects under the hiring manager's org? Track progress across engineering + data science teams (~10 people)? Manage long-term initiatives (multi-year)? Coordinate... embedding strategy project with 20?30+ cross-functional contributors? Provide weekly updates and progress tracking? No customer-facing work ? only internal stakeholders? Move projects forward proactively, ensure clarity, keep leadership informedWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 10, 2026

Susquehanna, PA

|

Computer Engineering

|

Contract

|

$41 - $51 (hourly estimate)

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One of Insight Global's clients is seeking a Voice Engineer to join their team. This individual will serve as the primary support resource for Genesys and Microsoft Teams Voice environments, handling... a variety of tickets related to permissions, call flows, and audio/voicemail functionality. They will troubleshoot issues such as failed uploads, dropped calls, and voicemail outages, escalating to Genesys support, TAMs, or vendors like Verizon when necessary. In addition to support, they will contribute to building and configuring call center solutions, including auto attendants, call queues, and high-touch (?white glove?) support setups. The role also involves partnering with internal teams to provide guidance on call center technologies, especially for groups with limited experience, while collaborating with a data scientist to help develop a centralized reporting database and interpret call center metrics. This person will analyze discrepancies between Genesys and Teams reporting using tools like Power BI and Excel, coach and train internal teams, and contribute to improving documentation and knowledge sharing. They will work cross-functionally with engineers, operations, and leadership to maintain system stability, and will participate in a light on-call rotation once every three months. Candidates must be comfortable going onsite to Harrisburg, PA a few days per week.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 15, 2026

Hampton, VA

|

Electrical Engineering

|

Contract-to-perm

|

$46 - $57 (hourly estimate)

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This work involves analyzing, designing, simulating, fabricating, testing, and conducting performance validation and verification of electronic instrumentation systems and circuit boards. These instruments will be put on a piece of hardware, launched into space, and used to capture any type of data for a multitude of space missions. Project include Satellite communication instruments to discover environment destruction, Autonomous Robotic Arms that repair the International Space Station, Interplanetary discovery vehicles to further human exploration, MARS rovers, OZONE atmospheric measurement instruments, RF communication devices for astronauts? communication, etc.. Candidates must have the ability to develop high reliability digital circuitry for space flight applications, create schematics and PCB layouts using commercial software (Altium), ability to create SPICE circuit simulations, ability to program FPGA and microprocessors, and have a history of designing printed circuit boards in a professional environment. Major ResponsibilitiesDesign, simulate, and test VHDL modules and FPGA designs for advanced sensors and spaceflight systems.Create Design documentation and deliverables for FPGA designs.Support FPGA code reviews to ensure designs meet NASA standards.Work closely with software and electrical team members to integrate and test FPGA designs into the system(s).Research and maintain knowledge of current state-of-the-art devices for space missions, to enable effective system design.Conduct functional testing, troubleshooting, and assembly of electronic systems.Integrate cameras, GPS modules, and data-saving systems into designs.Communicate effectively with scientists, project managers, and engineers across avionics, software, thermal/structural, and mechanical design teams.Occasionally support overtime efforts to meet delivery deadlines for flight missions.Collaborate with a team of engineers from the Electronics Design branch, including avionics leads, FPGA designers, and electronic designers.Work alongside technicians and interact with software, thermal/structural, mechanical design teams, and project personnel.Engage with scientists, project managers, and chief engineers to ensure mission success.Occasional overtime may be required to meet delivery deadlines.Pay for this role is between $35-70/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Electronics FPGA Design Engineer","City":"Hampton","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor?s degree in Electrical EngineeringExperience designing printed circuit boards (PCBs) in a professional settingProficiency with Altium Designer (schematic capture \u0026 layout)Experience with SPICE-based circuit simulation toolsStrong background in digital circuit design for high-reliability systemsFamiliarity with hardware validation, testing, and debuggingVHDL/FPGA","Skills":"Strong integration skills, particularly with cameras, GPS, and data-saving systems.Experience with advanced sensors and spaceflight systems.Ability to troubleshoot and test electronic systems.Prior experience with spaceflight hardware is a plus but not required.","Industry":"Electrical Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":57.0000,"SalaryLow":45.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A client is seeking a team of Electrical Design Engineers to support a large research and development project within the space and defense industry. This role will work as a part of the Electronic... Sensors department which is responsible for the design, building, and testing, of any electronic widget that will be launched into space. We are looking to add a dynamic, creative, and skilled Electrical Engineer to work alongside rocket scientist, aerospace engineers, robotic professionals, and electrical technicians to complete the entire product lifecycle of flight hardware from concept to production. This hardware will perform under stringent aero and space environmental conditions. This work involves analyzing, designing, simulating, fabricating, testing, and conducting performance validation and verification of electronic instrumentation systems and circuit boards. These instruments will be put on a piece of hardware, launched into space, and used to capture any type of data for a multitude of space missions. Project include Satellite communication instruments to discover environment destruction, Autonomous Robotic Arms that repair the International Space Station, Interplanetary discovery vehicles to further human exploration, MARS rovers, OZONE atmospheric measurement instruments, RF communication devices for astronauts? communication, etc.. Candidates must have the ability to develop high reliability digital circuitry for space flight applications, create schematics and PCB layouts using commercial software (Altium), ability to create SPICE circuit simulations, ability to program FPGA and microprocessors, and have a history of designing printed circuit boards in a professional environment. Major ResponsibilitiesDesign, simulate, and test VHDL modules and FPGA designs for advanced sensors and spaceflight systems.Create Design documentation and deliverables for FPGA designs.Support FPGA code reviews to ensure designs meet NASA standards.Work closely with software and electrical team members to integrate and test FPGA designs into the system(s).Research and maintain knowledge of current state-of-the-art devices for space missions, to enable effective system design.Conduct functional testing, troubleshooting, and assembly of electronic systems.Integrate cameras, GPS modules, and data-saving systems into designs.Communicate effectively with scientists, project managers, and engineers across avionics, software, thermal/structural, and mechanical design teams.Occasionally support overtime efforts to meet delivery deadlines for flight missions.Collaborate with a team of engineers from the Electronics Design branch, including avionics leads, FPGA designers, and electronic designers.Work alongside technicians and interact with software, thermal/structural, mechanical design teams, and project personnel.Engage with scientists, project managers, and chief engineers to ensure mission success.Occasional overtime may be required to meet delivery deadlines.Pay for this role is between $35-70/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 11, 2026

Buffalo Grove, IL

|

Programmer / Developer

|

Contract-to-perm

|

$50 - $62 (hourly estimate)

{"JobID":505584,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-87.96,"Longitude":42.16,"Distance":null},"State":"Illinois","Zip":"60089","ReferenceID":"CHI-57c10016-7802-4812-a804-11619a03049b","PostedDate":"\/Date(1773265511000)\/","Description":"Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.?Build and productionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.?Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.?Operationalize models with CI/CD, feature stores, reproducible training, and model registries?Monitor and improve live systems: data \u0026 concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.?Partner cross-functionally with product, data, and platform teams; write clear design docs?Work as an Individual contributor with minimal directions?Should be able to interact with stakeholders, understand the problem statement, and come up with solutionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI/ML Engineer","City":"Buffalo Grove","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Minimum 6+ years hands-on ML engineering (with significant ML experience prior to 2023): you?ve shipped multiple ML systems to production. *Not looking for someone who started working on AI after pre-trained models/ChatGPT were released*?Minimum 12+ years of total experience in Software Development, preferably with a Data Analyst/Data Scientist background?Demonstrated production agent build (at least one end-to-end agentic framework delivered to users).?Strong with classical ML: feature engineering, cross-validation, calibration, regularization, class imbalance, interpretability (SHAP/LIME), time-series (forecasting, seasonality, drift).?Solid deep learning foundations (CNN/RNN/Transformers), and practical fine-tuning experience (e.g., LoRA/QLoRA, instruction tuning, RAG).?Proven MLOps: model registry/experiment tracking (MLflow or equivalent), model serving (FastAPI/TF-Serving/TorchServe/TGI/vLLM), observability.?Fluency in Python and the ML stack (NumPy/Pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).?Excellent communication; can drive projects independently as an Individual Contributor.?Must have?Experience with agent frameworks (LangGraph/LangChain Agents, AutoGen, Google ADK) and tool use (function calling, tool routing, planners).?Retrieval/RAG design: chunking strategies, embedding models, vector stores (FAISS, Pinecone, Weaviate), hybrid search, evals.?Must have implemented projects involving some classical ML problems(classification, clustering, regression, anomaly detection, time series etc.,)?Some working experience with Cloud services, CI/CD and Microservices","Skills":"?Experience leading/mentoring junior data scientists or ML engineers is a plus?Experience fine tuning SLMs is a huge plus","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":62.0000,"SalaryLow":49.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.?Build and productionize agentic workflows (tool-using/multi-step... agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.?Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.?Operationalize models with CI/CD, feature stores, reproducible training, and model registries?Monitor and improve live systems: data & concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.?Partner cross-functionally with product, data, and platform teams; write clear design docs?Work as an Individual contributor with minimal directions?Should be able to interact with stakeholders, understand the problem statement, and come up with solutionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 09, 2026

Upper Providence, PA

|

Engineering (Non IT)

|

Contract

|

$46 - $57 (hourly estimate)

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We are seeking an Analytical Workflow Implementation Scientist to support the implementation and operationalization of automated analytical and purification workflows. This role sits at the... intersection of analytical chemistry, automation, and laboratory systems integration. The successful candidate will help transition the laboratory from independent, manual analytical processes to a connected, automated ecosystem that supports high-throughput, data-driven small molecule discovery.This is not a traditional bench analytical role and not an engineering repair role. The focus is on workflow orchestration, implementation readiness, and operational integration across multiple analytical and purification systems.? Support the implementation of automated analytical workflows that enable the Design?Make?Test?Analyze (DMTA) cycle for small molecules.? Translate analytical chemistry workflows into automation-ready, high-throughput laboratory processes.? Support the transition from standalone instruments to a connected, orchestrated analytical ecosystem.? Support implementation across a complex instrument environment including: ? ~8 LCMS systems? ~5 purification systems? 1?2 RapidFire systems? Assess readiness of analytical and purification systems for automated workflows.? Participate in commissioning activities and provide scientific oversight during implementation.*This role does not replace vendors or engineers and is not responsible for deep mechanical repairs. The focus is scientific enablement and workflow readiness, with escalation to vendors or engineering as appropriate.Purification & Reformatting Workflow Support? Provide hands-on scientific input into purification workflows and purification kit usage.? Support purification and reformatting design studies and future-state workflow planning.? Interface with external vendors (e.g., Labman) during implementation activities.? Participate in FAT/SAT activities (exposure is sufficient; ownership not required). Prioritize practical purification experience over formal commissioning ownership.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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