Job Search Results for machine learning
Nov 15, 2023
Denver, CO
|
Data Warehousing
|
Contract-to-perm
|
$65 - $81 (hourly estimate)
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Insight Global is seeking a Sr. Databricks Administrator to join the Unified Data Platform team at one of our largest Utility Clients. This individual will be the key participant and contributor to... the Databricks center of Excellence for Data Platform tools. The Databricks Administrator will be responsible for providing technical expertise in deploying applications on AWS Databricks platform. As a Databricks Administrator, you will be responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization. You will collaborate with data engineers, data scientists, and other stakeholders to ensure the platform meets their requirements while maintaining security and performance standards.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. 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/ .
Apr 20, 2026
Indianapolis, IN
|
Security Engineering
|
Contract-to-perm
|
$64 - $80 (hourly estimate)
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Insight Global is seeking a Machine Learning Reliability Engineer for a large enterprise client modernizing and scaling its ML/AI platform. This role focuses on ensuring ML systems are reliable,... observable, and cost-efficient at scale. The engineer will define SLOs, build robust Datadog monitoring, standardize incident response, and partner closely with FinOps and governance teams. This is a highly visible role critical to production ML success?ideal for an SRE who understands ML workloads and wants to own reliability, observability, and operational excellence across enterprise AI systems.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/.
Apr 09, 2026
Palo Alto, CA
|
Software Engineering
|
Perm
|
$207k - $258k (estimate)
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You will work closely with Operations (Manufacturing, Supply Chain, Procurement, Quality), Product, Sales, Customer Service, Finance, HR, and other internal partners to align technical solutions to measurable enterprise outcomes.ResponsibilitiesLead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.Collaborate with Legal, Compliance, Risk, Audit, and Security to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org.Mentor engineers across levels; lead design reviews; improve code quality, reliability, observability, and cost/performance of AI workloads.Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs.Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate.Salary ranges based on experience: $206,500.00 - $258,100.00We 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":"Staff Applied AI Engineer","City":"Palo Alto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"QualificationsBS/MS/PhD in Computer Science or a related field, or equivalent experience.8-10+ years of experience in software engineering, with a proven track record delivering complex, production-ready systems in enterprise environments.Deep technical knowledge in AI/ML, with hands-on experience building and deploying solutions using language models, retrieval/grounding, embeddings/vector search, and evaluation.Demonstrated ability to translate ambiguous business problems into robust AI products with measurable business impact.Experience defining and evolving architectures, standards, and platforms that create leverage across multiple teams.Strong familiarity with security, privacy, compliance, safety, and auditability for enterprise AI systems.Excellence in communication and stakeholder management; able to influence and align across diverse teams.Proven curiosity and mental agility to learn and apply new technologies through hands-on development and continuous learning.","Skills":"","Industry":"Software 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":258100.0000,"SalaryLow":206500.0000,"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)\/"}
Insight Global is seeking an entrepreneurial, hands-on senior individual contributor to build and scale Applied AI Solutions for an automotive customer in the electric vehicle space. As a Staff AI... Engineer, you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business value. You will set technical direction, own complex domains, and raise the engineering bar through architectural leadership, operational excellence, and pragmatic innovation with language models and machine learning. You will work closely with Operations (Manufacturing, Supply Chain, Procurement, Quality), Product, Sales, Customer Service, Finance, HR, and other internal partners to align technical solutions to measurable enterprise outcomes.ResponsibilitiesLead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.Collaborate with Legal, Compliance, Risk, Audit, and Security to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org.Mentor engineers across levels; lead design reviews; improve code quality, reliability, observability, and cost/performance of AI workloads.Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs.Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate.Salary ranges based on experience: $206,500.00 - $258,100.00We 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
Los Angeles, CA
|
Data Warehousing
|
Contract
|
$64 - $80 (hourly estimate)
{"JobID":498536,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-118.4,"Longitude":33.95,"Distance":null},"State":"California","Zip":"90045","ReferenceID":"LAX-9123f169-e091-42c0-8b37-bda93cba066d","PostedDate":"\/Date(1771893705000)\/","Description":"Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools \u0026 Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.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":"GCP Data Engineer/Architect","City":"Los Angeles","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).? Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.? Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.? Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.? Hands-on experience using DBT for data modeling and transformation workflows.Strong understanding and application of ERD architecture in enterprise data systems.","Skills":"","Industry":"Data Warehousing","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":80.0000,"SalaryLow":64.0000,"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)\/"}
Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team... operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools & Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.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/.
Apr 17, 2026
Lincolnshire, IL
|
Architect
|
Contract
|
$73 - $91 (hourly estimate)
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A large retail company is seeking a Principal Enterprise Architect, AI & Strategic Infrastructure to shape the technological foundation and strategic direction of its AI and machine learning... initiatives. This senior-level role will lead the design, development, and governance of robust, scalable, and secure enterprise AI architectures. The position serves as the key bridge between business leaders, data scientists, ML engineers, application teams, and infrastructure teams, translating strategic business needs into comprehensive technical requirements and architectural blueprints for enterprise-wide AI solutions. This is a hybrid role with 3 days a week onsite in Lincolnshire office. Pay rate: $88 - $92We 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
Atlanta, GA
|
Software Engineering
|
Contract-to-perm
|
$41 - $51 (hourly estimate)
{"JobID":530742,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-84.37,"Longitude":33.77,"Distance":null},"State":"Georgia","Zip":"30308","ReferenceID":"ATL-cfa7e77a-d7e9-4a07-85c8-ca4da5ca9288","PostedDate":"\/Date(1778844762000)\/","Description":"An Insight Global Client is looking for an Embedded Software/Firmware Engineer to support the research and development of innovative solutions for communications and spectrum sensing systems and is looking for a dynamic and challenging work environment. The Division\u0027s projects focus on advanced signal processing, adaptive communications technologies, advanced algorithms, and artificial intelligence and machine learning applied to communications, spectrum sensing, electronic warfare, and next generation cellular network technologies. Key research areas include future generations of adaptive communication systems, intelligent spectrum sensing systems, adaptive and learning algorithms, advanced waveforms for communications and sensing, and physics-based propagation modeling.The Division supports work across many branches of the Department of War (DoW), including the Army, Navy, and Office of the Secretary of War for Research and Engineering. Programs span the range from applied research through prototype developments that are fielded for experimentation and capability demonstrations.The ideal candidate will be an inquisitive and resourceful researcher with embedded software skills and an interest in signal processing, mathematics, and technical algorithms that can be applied to communication systems and spectrum sensing. Candidates should have a strong desire to collaborate with other team members while designing, implementing, testing and fielding innovative communications platforms to provide solutions for communications and spectrum sensing problems of interest to the DoW. As a researcher, the candidate will develop innovative concepts to investigate, advance, and create understanding of emerging problems and solution opportunities in communications technology and applications domains.The Embedded Software/Firmware Engineer is responsible for developing algorithms and code for real-time signal processing to include communication and data transfer between system level hardware and embedded hardware. The Embedded Software/Firmware Engineer develops designs based on embedded firmware systems, such as Field Programmable Gate Array (FPGA), Digital Signal Processors (DSPs), microcontrollers/computers, Application-Specific Integrated Circuits/systems (ASICs), and or Graphics Processor Units (GPUs). These designs also require development of documentation to support future reviews of design and enhancements. This position requires extensive knowledge of development environments for Xilinx and Altera (Intel) technologies, software development and configuration skills, and computer operating systems. The Embedded Software/Firmware Engineer applies engineering principles to firmware software creation and implementation of real-time hardware interface firmware and analysis, debugging, and testing of these systems.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":"Embedded Software Engineer - Communication Systems","City":"Atlanta","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Degree in Electrical Engineering, Computer Engineering, Physics, or related field?Candidates currently enrolled in an accredited degree program relevant to this position will be considered. oThe candidate must have a graduation date of no later than May 2026.?The candidate should be familiar with software development concepts such as source control, agile development, and good coding practices?Experience developing on embedded platforms?Experience with use of C, cplusplus, and Python?Experience using GIT and Confluence?Excellent verbal and written communication skills?Ability to work individually and as part of a team?Ability to work in a research environment where there are many unknowns and undiscovered paths?Ability to operate effectively, maintain productivity, and make well-reasoned decisions despite incomplete information and requirements, while elucidating objectives and target outcomes?Ability to be granted Secret Clearance","Skills":"?Active Secret Clearance?5 years experience or more in professional embedded software development?MS or PhD in Electrical Engineering, Computer Engineering, Mathematics, Physics or related field?Experience in developing advanced communication systems, implementing or designing waveforms, and integrating communication implementations on SDR platforms?Strong background in electromagnetics, signal processing, mathematics, machine learning / artificial intelligence, or scientific algorithm development?Experience with electronic warfare threat systems?Proficiency in C/cplusplus software and systems design and implementation (cplusplus11, cplusplus20)?Experience with Linux operating systems?Proficiency with containerized software development, deployment, and security?Experience with cellular communications systems, technologies, and specifications, including ORAN?Experience with SOSA/MORE and/or CMOSS open architectures and platforms?Demonstrated recent experience in applied research and development","Industry":"Software 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":51.0000,"SalaryLow":40.8000,"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)\/"}
An Insight Global Client is looking for an Embedded Software/Firmware Engineer to support the research and development of innovative solutions for communications and spectrum sensing systems and is... looking for a dynamic and challenging work environment. The Division's projects focus on advanced signal processing, adaptive communications technologies, advanced algorithms, and artificial intelligence and machine learning applied to communications, spectrum sensing, electronic warfare, and next generation cellular network technologies. Key research areas include future generations of adaptive communication systems, intelligent spectrum sensing systems, adaptive and learning algorithms, advanced waveforms for communications and sensing, and physics-based propagation modeling.The Division supports work across many branches of the Department of War (DoW), including the Army, Navy, and Office of the Secretary of War for Research and Engineering. Programs span the range from applied research through prototype developments that are fielded for experimentation and capability demonstrations.The ideal candidate will be an inquisitive and resourceful researcher with embedded software skills and an interest in signal processing, mathematics, and technical algorithms that can be applied to communication systems and spectrum sensing. Candidates should have a strong desire to collaborate with other team members while designing, implementing, testing and fielding innovative communications platforms to provide solutions for communications and spectrum sensing problems of interest to the DoW. As a researcher, the candidate will develop innovative concepts to investigate, advance, and create understanding of emerging problems and solution opportunities in communications technology and applications domains.The Embedded Software/Firmware Engineer is responsible for developing algorithms and code for real-time signal processing to include communication and data transfer between system level hardware and embedded hardware. The Embedded Software/Firmware Engineer develops designs based on embedded firmware systems, such as Field Programmable Gate Array (FPGA), Digital Signal Processors (DSPs), microcontrollers/computers, Application-Specific Integrated Circuits/systems (ASICs), and or Graphics Processor Units (GPUs). These designs also require development of documentation to support future reviews of design and enhancements. This position requires extensive knowledge of development environments for Xilinx and Altera (Intel) technologies, software development and configuration skills, and computer operating systems. The Embedded Software/Firmware Engineer applies engineering principles to firmware software creation and implementation of real-time hardware interface firmware and analysis, debugging, and testing of these systems.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/.
Sep 30, 2025
Santa Clara, CA
|
Computer Engineering
|
Perm
|
$180k - $220k (estimate)
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Insight Global is looking for a Sr. Data Engineer (DevOps) to work 4 days on-site in Santa Clara, CA for a fast-growing technology company specializing in secure networking solutions?including... SD-WAN, SASE, and SSE?that is helping global enterprises modernize their IT infrastructure for the cloud era. Led by industry veterans and backed by top-tier investors, the company is focused on innovation, scalability, and preparing for a future IPO.The Data DevOps Engineer will join the Machine Learning and AI team to build and maintain scalable data infrastructure supporting intelligent systems and analytics. This role involves close collaboration with DevOps, Data Science, and Software Engineering teams.? Design, build, and maintain robust data pipelines for ML/AI products.? Integrate infrastructure automation and deployment workflows with DevOps teams.? Implement new features and optimize data flow in collaboration with Data Scientists and Engineers.? Enhance monitoring, logging, and debugging capabilities across data systems.Ensure scalability, reliability, and performance of data infrastructure.Salary Range - $180,000 - $220,000We 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 08, 2026
Raleigh, NC
|
Security Engineering
|
Perm
|
$140k - $150k (estimate)
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We are seeking a Principal Security Engineer to join a highly collaborative and globally distributed security team. This individual will play a key role in leading incident response efforts,... proactively identifying emerging threats, and strengthening security across a cloud-first (AWS) environment.This is an opportunity to work with a forward-thinking team focused on modern threat detection, including the evolving risks surrounding AI technologies.________________________________________Key Responsibilities?Lead and support incident response efforts across the organization?Investigate complex security events with a strong analytical and investigative mindset?Identify root causes and proactively determine where to look next in threat scenarios?Secure and monitor a hybrid/cloud-based infrastructure (AWS-heavy)?Stay ahead of emerging threats, including those involving AI and machine learning?Contribute to and enhance security best practices and processes?Provide mentorship and guidance to junior engineers on the teamWe 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/.
Apr 16, 2026
Lincolnshire, IL
|
Architect
|
Contract,Perm Possible
|
$73 - $91 (hourly estimate)
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They will maintain a comprehensive data lineage and usage inventory, ensuring the organization has clear visibility into where data is sourced, transformed, stored, and consumed.Key ResponsibilitiesAI Data Architecture \u0026 Design?Define and maintain the enterprise data architecture for all AI and machine learning projects, including data lake, warehouse, and feature store strategies.?Design data models, schemas, and pipelines optimized for AI/ML consumption across Snowflake, BigQuery, Postgres, and supporting platforms.?Establish standards for data ingestion, transformation, storage, and retrieval that support real-time and batch AI workloads.?Architect integration patterns that connect structured and unstructured data sources (Snowflake, Salesforce, SharePoint, PDFs, APIs) into unified, AI-ready datasets.Data Lineage, Governance \u0026 Inventory?Build and maintain a comprehensive data catalog and lineage map that documents where every critical data asset lives, how it is used, and which AI models depend on it.?Partner with Data Engineering and Analytics teams to ensure data quality, consistency, and compliance across all AI data pipelines.?Implement metadata management practices and tooling to enable self-service discovery and impact analysis.?Define data classification, access controls, and retention policies for AI-specific datasets in alignment with security and regulatory requirements.AI Project Delivery \u0026 Collaboration?Serve as the embedded data architect across all AI Center of Excellence projects, ensuring each initiative has a sound data foundation from design through deployment.?Collaborate with AI/ML engineers, agent developers, and platform teams to translate business requirements into data architecture decisions.?Evaluate and recommend data technologies, connectors, and integration tools that accelerate AI delivery (e.g., vector databases, RAG pipelines, embedding stores).?Support the buildout of the enterprise data lake initiative, consolidating disparate data sources for AI and analytics workloads.Strategic Planning \u0026 Standards?Develop and maintain data architecture standards, reference architectures, and design patterns tailored for AI use cases.?Create and present architecture proposals, data flow diagrams, and technical documentation to both technical and executive audiences.?Stay current on emerging data technologies, cloud-native data services, and AI infrastructure patterns; advise leadership on adoption opportunities.?Contribute to the AI Center of Excellence?s technology standards and roadmap for data infrastructure.Pay Rate: $70-100We 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 Data Architect (chicago)","City":"Lincolnshire","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?8+ years of experience in data architecture, data engineering, or enterprise data management.?3+ years of hands-on experience designing data solutions for AI/ML workloads.?Deep expertise with cloud data platforms, particularly Snowflake, Google BigQuery, or equivalent.?Strong understanding of data modeling (dimensional, graph, document), ETL/ELT pipelines, and data integration patterns.?Experience with data governance frameworks, data cataloging tools, and lineage tracking.?Familiarity with AI/ML data requirements including feature engineering, vector embeddings, retrieval-augmented generation (RAG), and unstructured data processing.?Proficiency in SQL; working knowledge of Python or similar scripting languages.?Excellent communication skills with the ability to translate complex data concepts for non-technical stakeholders.?Bachelor?s degree in Computer Science, Data Science, Information Systems, or related field.?Hybrid/remote work flexibility. 3 Days in Office is a requirement.","Skills":"?Experience with Snowflake?s advanced features (Snowpark, Cortex, data sharing, dynamic tables).?Hands-on experience with GCP services (Vertex AI, Cloud Storage, Pub/Sub, Dataflow).?Familiarity with knowledge graph technologies, semantic layers, or ontology design for AI applications.?Experience with enterprise data lake or data mesh architectures.?Background in retail, automotive, or RV/dealership industry data environments.?Relevant certifications (e.g., Snowflake SnowPro, GCP Professional Data Engineer, AWS Data Analytics).?Experience with MCP (Model Context Protocol) or similar AI-to-data integration frameworks.","Industry":"Architect","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":91.0000,"SalaryLow":72.8000,"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)\/"}
The AI Data Solutions Architect is a senior technical role within the AI Center of Excellence, responsible for designing and governing the data architecture that underpins all AI and machine learning... initiatives across Camping World Holdings. This individual will own the end-to-end data strategy for AI projects ? determining where data should reside, how it flows between systems, and how it is structured to maximize value for AI workloads. They will maintain a comprehensive data lineage and usage inventory, ensuring the organization has clear visibility into where data is sourced, transformed, stored, and consumed.Key ResponsibilitiesAI Data Architecture & Design?Define and maintain the enterprise data architecture for all AI and machine learning projects, including data lake, warehouse, and feature store strategies.?Design data models, schemas, and pipelines optimized for AI/ML consumption across Snowflake, BigQuery, Postgres, and supporting platforms.?Establish standards for data ingestion, transformation, storage, and retrieval that support real-time and batch AI workloads.?Architect integration patterns that connect structured and unstructured data sources (Snowflake, Salesforce, SharePoint, PDFs, APIs) into unified, AI-ready datasets.Data Lineage, Governance & Inventory?Build and maintain a comprehensive data catalog and lineage map that documents where every critical data asset lives, how it is used, and which AI models depend on it.?Partner with Data Engineering and Analytics teams to ensure data quality, consistency, and compliance across all AI data pipelines.?Implement metadata management practices and tooling to enable self-service discovery and impact analysis.?Define data classification, access controls, and retention policies for AI-specific datasets in alignment with security and regulatory requirements.AI Project Delivery & Collaboration?Serve as the embedded data architect across all AI Center of Excellence projects, ensuring each initiative has a sound data foundation from design through deployment.?Collaborate with AI/ML engineers, agent developers, and platform teams to translate business requirements into data architecture decisions.?Evaluate and recommend data technologies, connectors, and integration tools that accelerate AI delivery (e.g., vector databases, RAG pipelines, embedding stores).?Support the buildout of the enterprise data lake initiative, consolidating disparate data sources for AI and analytics workloads.Strategic Planning & Standards?Develop and maintain data architecture standards, reference architectures, and design patterns tailored for AI use cases.?Create and present architecture proposals, data flow diagrams, and technical documentation to both technical and executive audiences.?Stay current on emerging data technologies, cloud-native data services, and AI infrastructure patterns; advise leadership on adoption opportunities.?Contribute to the AI Center of Excellence?s technology standards and roadmap for data infrastructure.Pay Rate: $70-100We 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/.
Apr 14, 2026
Austin, TX
|
Software Engineering
|
Perm
|
$145k - $185k (estimate)
{"JobID":518594,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-97.74,"Longitude":30.26,"Distance":null},"State":"Texas","Zip":"78758","ReferenceID":"AUS-511b3e8e-7697-4453-8f40-9595b91f92c2","PostedDate":"\/Date(1776180324000)\/","Description":"We are seeking a Cloud MLOps Engineer to build and operate the cloud infrastructure that powers machine learning for a humanoid robotics platform. This role sits at the intersection of ML research, production systems, and end-user applications, with a strong focus on robot telemetry data, model lifecycle management, and production deployment.You will enable researchers and applied ML engineers to reliably train, evaluate, and deploy models at scale, while ensuring telemetry-driven insights flow from robots in the real world back into continuous learning systems.What You?ll DoDesign, deploy, and maintain cloud-native MLOps platforms supporting large-scale ML training, evaluation, and inference workloadsOperate Kubernetes-based infrastructure (self-managed or managed services such as GKE, EKS, or AKS) for ML workloads and data applicationsBuild and maintain end-to-end ML pipelines that bridge research workflows with production systemsSupport robot telemetry ingestion, processing, and analytics, enabling model feedback loops from deployed humanoid robotsIntegrate and operate ML tooling such as MLflow, Weights \u0026 Biases, Slurm, or similar systems for experiment tracking, scheduling, and reproducibilityEnable model deployment to production, including CI/CD for models, versioning, monitoring, and rollback strategiesPartner closely with ML researchers, perception, controls, and applications teams to productionize models safely and efficientlyImplement observability across ML systems, including model performance, data drift, and system healthImprove reliability, scalability, and security of cloud ML infrastructure supporting real-world robotic systemsWe 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":"Cloud MLOps Engineer","City":"Austin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Strong experience with cloud platforms: AWS, GCP, and/or AzureHands-on experience operating Kubernetes or managed Kubernetes services in productionExperience building or maintaining MLOps platforms supporting training and inferenceFamiliarity with ML experiment tracking and orchestration tools (e.g., MLflow, Weights \u0026 Biases, Slurm, Ray, Kubeflow, or similar)Experience deploying ML models into production-facing applications or servicesStrong understanding of CI/CD, infrastructure-as-code, and automationProficiency in Python; experience with Bash or another scripting languageAbility to collaborate effectively across research and engineering teams","Skills":"Experience working with robotics or real-time telemetry dataFamiliarity with streaming data systems (e.g., Kafka, Pub/Sub, Kinesis)Experience supporting GPU workloads in cloud or Kubernetes environmentsExposure to edge?cloud ML deployment or fleet-based systemsPrior work in robotics, autonomy, or embodied AI environments","Industry":"Software 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":185000.0000,"SalaryLow":145000.0000,"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)\/"}
We are seeking a Cloud MLOps Engineer to build and operate the cloud infrastructure that powers machine learning for a humanoid robotics platform. This role sits at the intersection of ML research,... production systems, and end-user applications, with a strong focus on robot telemetry data, model lifecycle management, and production deployment.You will enable researchers and applied ML engineers to reliably train, evaluate, and deploy models at scale, while ensuring telemetry-driven insights flow from robots in the real world back into continuous learning systems.What You?ll DoDesign, deploy, and maintain cloud-native MLOps platforms supporting large-scale ML training, evaluation, and inference workloadsOperate Kubernetes-based infrastructure (self-managed or managed services such as GKE, EKS, or AKS) for ML workloads and data applicationsBuild and maintain end-to-end ML pipelines that bridge research workflows with production systemsSupport robot telemetry ingestion, processing, and analytics, enabling model feedback loops from deployed humanoid robotsIntegrate and operate ML tooling such as MLflow, Weights & Biases, Slurm, or similar systems for experiment tracking, scheduling, and reproducibilityEnable model deployment to production, including CI/CD for models, versioning, monitoring, and rollback strategiesPartner closely with ML researchers, perception, controls, and applications teams to productionize models safely and efficientlyImplement observability across ML systems, including model performance, data drift, and system healthImprove reliability, scalability, and security of cloud ML infrastructure supporting real-world robotic systemsWe 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/.