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Nov 11, 2025

San Jose, CA

|

Data Warehousing

|

Contract

|

$58 - $72 (hourly estimate)

{"JobID":465839,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-121.9,"Longitude":37.38,"Distance":null},"State":"California","Zip":"95131","ReferenceID":"SJC-34b5a40a-95f2-4ba9-90c8-f15834405ccf","PostedDate":"\/Date(1762837149000)\/","Description":"Insight Global is looking for a Machine Learning Engineer for a leading company in the Fintech space. You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.? You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities.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":"Machine Learning Engineer","City":"San Jose","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-6+ years of experience as a machine learning engineer - Big Query and Python experience-Understand the production systems architect and offline data overview -Machine Learning experience","Skills":"-risk and fraud experience","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":72.0000,"SalaryLow":57.6000,"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)\/"}

Insight Global is looking for a Machine Learning Engineer for a leading company in the Fintech space. You would get chance to design and implement scalable solutions to optimize fraud detection... systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.? You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities.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/.

Oct 09, 2025

San Jose, CA

|

Software Engineering

|

Perm

|

$200k - $350k (estimate)

{"JobID":453727,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-121.89,"Longitude":37.33,"Distance":null},"State":"California","Zip":"95113","ReferenceID":"DGW-1ea8c6ad-91f8-4bc4-bd8f-ad64a2ecf68d","PostedDate":"\/Date(1760038177000)\/","Description":"Insight Global is seeking a team of experienced, driven Machine Learning Engineer to join an established health technology company sitting in San Jose, CA. This is a full-time, permanent role with competitive salary, bonus, and comprehensive benefits.In this role you\u0027ll need: Deep Learning Frameworks: Hands-on experience with PyTorch (main focus) and familiarity with TensorFlow.Large-Scale Model Training: Exposure to advanced training techniques like Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), ZeRO, and model parallelism (pipeline/tensor). Experience with distributed training is a strong plus.Model Optimization: Skilled in improving model performance through techniques like quantization (PTQ, QAT, AWQ, GPTQ), pruning, knowledge distillation, KV-cache tuning, and using efficient attention mechanisms like Flash Attention.Scalable Model Serving: Understanding of how to deploy models at scale, including autoscaling, load balancing, streaming, batching, and caching. Comfortable working alongside platform engineers to build robust serving pipelines.Data \u0026 Storage Systems: Proficient with both SQL and NoSQL databases, vector databases (e.g., FAISS, Milvus, Pinecone, pgvector), and data formats like Parquet and Delta. Familiar with object storage systems.Code Quality: Writes efficient, clean, and maintainable code with a focus on performance.End-to-End ML Lifecycle: Solid grasp of the full machine learning workflow?from data collection and model training to deployment, inference, optimization, and evaluation.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":"Machine Learning Engineer","City":"San Jose","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?3?5 years in ML/AI engineering roles owning training and/or serving in production at scale.?Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.?Experience collaborating across Research, Platform/Infra, Data, and Product functions.?Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master?s preferred (or equivalent industry experience).?Strong systems/ML engineering with exposure to distributed training and inference optimization.","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":350000.0000,"SalaryLow":200000.0000,"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 a team of experienced, driven Machine Learning Engineer to join an established health technology company sitting in San Jose, CA. This is a full-time, permanent role with... competitive salary, bonus, and comprehensive benefits.In this role you'll need: Deep Learning Frameworks: Hands-on experience with PyTorch (main focus) and familiarity with TensorFlow.Large-Scale Model Training: Exposure to advanced training techniques like Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), ZeRO, and model parallelism (pipeline/tensor). Experience with distributed training is a strong plus.Model Optimization: Skilled in improving model performance through techniques like quantization (PTQ, QAT, AWQ, GPTQ), pruning, knowledge distillation, KV-cache tuning, and using efficient attention mechanisms like Flash Attention.Scalable Model Serving: Understanding of how to deploy models at scale, including autoscaling, load balancing, streaming, batching, and caching. Comfortable working alongside platform engineers to build robust serving pipelines.Data & Storage Systems: Proficient with both SQL and NoSQL databases, vector databases (e.g., FAISS, Milvus, Pinecone, pgvector), and data formats like Parquet and Delta. Familiar with object storage systems.Code Quality: Writes efficient, clean, and maintainable code with a focus on performance.End-to-End ML Lifecycle: Solid grasp of the full machine learning workflow?from data collection and model training to deployment, inference, optimization, and evaluation.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/.

Jul 21, 2025

Concord, NC

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Managerial / Professional

|

Perm

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$100k - $150k (estimate)

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Responsibilities: Coordinate with 1st shift management to review production goals, part counts, and any shift-to-shift issues. Supervise a team of 56 CNC operators and programmers, ensuring smooth... and efficient operations. Oversee machine loading/unloading and basic maintenancemachines are largely self-sufficient, similar to automated systems. Monitor machine performance and make recommendations for maintenance or improvements. Ensure production targets and quality standards are met.Support team members with troubleshooting and problem-solving on the floor.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/ .

Nov 24, 2025

Camden, NJ

|

IT (DNU)

|

Perm

|

$80k - $125k (estimate)

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The Cooper Health System is seeking a Data Scientist to join its analytics team. This role focuses on leveraging advanced analytics techniques to drive clinical and business decision-making. You will... work with healthcare data to build predictive models, apply machine learning and NLP methods, and optimize data pipelines. The ideal candidate combines strong technical skills with the ability to communicate insights effectively to stakeholders.Key ResponsibilitiesDevelop and implement machine learning models for predictive analytics and clinical decision support.Apply NLP and LLM techniques to extract insights from structured and unstructured data.Build and optimize data pipelines using Python and SQL for ETL processes.Preprocess and clean datasets to support analytics initiatives.Collaborate with stakeholders to understand data needs and deliver actionable insights.Interpret complex datasets and provide clear, data-driven recommendations.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/.

Oct 30, 2025

Bentonville, AR

|

Managerial / Professional

|

Perm

|

$180k - $200k (estimate)

{"JobID":462008,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-94.2,"Longitude":36.36,"Distance":null},"State":"Arkansas","Zip":"72712","ReferenceID":"BEN-fce04be3-e949-4ceb-8778-5f30d195654d","PostedDate":"\/Date(1761846627000)\/","Description":"We are looking for a highly skilled and experienced Senior Manager of Data Science to lead our team in developing and deploying innovative solutions in the Generative AI (GenAI) space. This role demands a strong engineering background, proficiency in traditional statistics, and expertise in various machine learning techniques.Key Responsibilities:Leadership \u0026 Team Management:Lead a high-performing team of 8-10 data scientists and machine learning engineers.Foster a collaborative and innovative environment, ensuring tight deadlines are met and impactful projects are delivered.Oversee the career progression and development of junior team members.Technical Expertise:Utilize expertise in NLP, LLM,and traditional machine learning techniques within an agentic framework.Scale and deploy data science prototypes, ensuring robust and efficient solutions.Apply traditional statistical methods to enhance model accuracy and reliability.Strategic Planning:Collaborate with the team to develop and execute a technology roadmap for GenAI and forecasting projects.Engage with tough product and business stakeholders, effectively managing expectations and delivering impactful solutions.Drive large-scale projects with significant business impact, coordinating efforts across data science, product management, ML engineering, and end-user teams.Stakeholder Management:Handle challenging stakeholders with professionalism and strategic insight.Ensure alignment between technical solutions and business objectives, maintaining clear communication channels.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":"Senior Manager, Data Science","City":"Bentonville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Proven experience in managing large teams and delivering high-impact projects.Strong background in engineering, with the ability to scale and deploy data science solutions.Expertise in NLP, LLM, GenAI, and traditional machine learning techniques.Proficiency in traditional statistics and their application in data science.Excellent stakeholder management skills, with the ability to handle tough product and business stakeholders.Strong leadership and team management skills, with a focus on career development for junior team members.","Skills":"","Industry":"Managerial / Professional","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":200000.0000,"SalaryLow":180000.0000,"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 looking for a highly skilled and experienced Senior Manager of Data Science to lead our team in developing and deploying innovative solutions in the Generative AI (GenAI) space. This role... demands a strong engineering background, proficiency in traditional statistics, and expertise in various machine learning techniques.Key Responsibilities:Leadership & Team Management:Lead a high-performing team of 8-10 data scientists and machine learning engineers.Foster a collaborative and innovative environment, ensuring tight deadlines are met and impactful projects are delivered.Oversee the career progression and development of junior team members.Technical Expertise:Utilize expertise in NLP, LLM,and traditional machine learning techniques within an agentic framework.Scale and deploy data science prototypes, ensuring robust and efficient solutions.Apply traditional statistical methods to enhance model accuracy and reliability.Strategic Planning:Collaborate with the team to develop and execute a technology roadmap for GenAI and forecasting projects.Engage with tough product and business stakeholders, effectively managing expectations and delivering impactful solutions.Drive large-scale projects with significant business impact, coordinating efforts across data science, product management, ML engineering, and end-user teams.Stakeholder Management:Handle challenging stakeholders with professionalism and strategic insight.Ensure alignment between technical solutions and business objectives, maintaining clear communication channels.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/.

Dec 01, 2025

Charlotte, NC

|

Security Engineering

|

Contract-to-perm

|

$78 - $98 (hourly estimate)

{"JobID":472178,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-80.83,"Longitude":35.19,"Distance":null},"State":"North Carolina","Zip":"28262","ReferenceID":"DAL-63397c3f-2212-4a4d-9a4f-6aff757c71d1","PostedDate":"\/Date(1764625083000)\/","Description":"The Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures.________________________________________Key Responsibilities:?Design, develop, and optimize AI-Security specific threat models, tools, solutions for threat identification, prediction, and prevention.?Implement and secure machine learning models, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring.?Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders.?Analyze AI security incident data to refine and improve AI models and methodologies.?Provide technical leadership and mentorship to junior engineers in AI and machine learning.?Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP).?Stay abreast of emerging trends and advancements in AI and cybersecurity.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":"Cybersecurity AI Engineer","City":"Charlotte","ExpirationDate":null,"PriorityOrder":0,"Requirements":"The Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures.________________________________________Key Responsibilities:?Design, develop, and optimize AI-Security specific threat models, tools, solutions for threat identification, prediction, and prevention.?Implement and secure machine learning models, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring.?Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders.?Analyze AI security incident data to refine and improve AI models and methodologies.?Provide technical leadership and mentorship to junior engineers in AI and machine learning.?Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP).?Stay abreast of emerging trends and advancements in AI and cybersecurity.","Skills":"?Experience with agentic and model context protocols (MCP) architectures.?Demonstrated ability to lead cross-functional technical teams.?Track record of published research or thought leadership in AI security.","Industry":"Security 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":98.0000,"SalaryLow":78.4000,"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 Principal Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI specific threats. This hands-on technical... leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures.________________________________________Key Responsibilities:?Design, develop, and optimize AI-Security specific threat models, tools, solutions for threat identification, prediction, and prevention.?Implement and secure machine learning models, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring.?Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders.?Analyze AI security incident data to refine and improve AI models and methodologies.?Provide technical leadership and mentorship to junior engineers in AI and machine learning.?Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP).?Stay abreast of emerging trends and advancements in AI and cybersecurity.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/.

Nov 03, 2025

Doylestown, PA

|

Data Warehousing

|

Perm

|

$120k - $130k (estimate)

{"JobID":463170,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-75.12,"Longitude":40.31,"Distance":null},"State":"Pennsylvania","Zip":"18901","ReferenceID":"DGO-ca492b1b-ddd9-4001-976d-b790fa5037de","PostedDate":"\/Date(1762206956000)\/","Description":"As a critical member of the Assurance service team, the Data Engineer will acquire and analyze utility-scale electric power plant process data to develop and deploy machine learning-based forecasting and anomaly detection systems.Core Competencies ?Self-starting problem-solver, innovative, enterprising, data-driven ?Independent, resourceful, adaptable, and unafraid to fail and try again?Action-oriented individual who thrives with minimal supervision?Focused on value (why the client needs our product, value-add prospects, dollar focused, thinking outside the box) ?Willing to learn industry concepts/terminology and understand customer needs Responsibilities: ?Build, operate, and maintain production deployments of machine learning offerings via established Azure resources ?Problem-solve and modify deployments per specifications ?Remain responsible for deployments and servicing of customer requests?Clearly and concisely document deployments for each new customer ?Work with domain experts to discover and communicate value-add optimization prospects Compensation: $120-130k.Exact compensation may vary based on several factors, including skills, experience, and education.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 - Hybrid Onsite","City":"Doylestown","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?4-year STEM degree ?Minimum of 2 years professional experience in a similar role ?Demonstrated expertise in Python, SQL, and APIs ?Azure experience, including Azure Functions, SQL Server, Azure DevOps, and AzureML?Working knowledge of industrial process time-series data and related quantitative analysis/modeling techniques including machine learning concepts","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":130000.0000,"SalaryLow":120000.0000,"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)\/"}

As a critical member of the Assurance service team, the Data Engineer will acquire and analyze utility-scale electric power plant process data to develop and deploy machine learning-based forecasting... and anomaly detection systems.Core Competencies ?Self-starting problem-solver, innovative, enterprising, data-driven ?Independent, resourceful, adaptable, and unafraid to fail and try again?Action-oriented individual who thrives with minimal supervision?Focused on value (why the client needs our product, value-add prospects, dollar focused, thinking outside the box) ?Willing to learn industry concepts/terminology and understand customer needs Responsibilities: ?Build, operate, and maintain production deployments of machine learning offerings via established Azure resources ?Problem-solve and modify deployments per specifications ?Remain responsible for deployments and servicing of customer requests?Clearly and concisely document deployments for each new customer ?Work with domain experts to discover and communicate value-add optimization prospects Compensation: $120-130k.Exact compensation may vary based on several factors, including skills, experience, and education.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/.

Dec 03, 2025

San Jose, CA

|

Database Administrator (DBA)

|

Contract

|

$34 - $42 (hourly estimate)

{"JobID":472793,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122,"Longitude":37.42,"Distance":null},"State":"California","Zip":"94089","ReferenceID":"SJC-dbb5c80a-f05d-4ecc-b05f-a6b4827fa96d","PostedDate":"\/Date(1764721595000)\/","Description":"We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data \u0026 AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.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 Scientist","City":"San Jose","ExpirationDate":null,"PriorityOrder":0,"Requirements":"1-3 years of experience in machine learning/AI, data science, risk analytics \u0026 data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.? Bachelor?s/Master\u0027s degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience? Experience using statistics and data science (machine learning \u0026 AI) to solve complex business problems? Proficiency in SQL, Python, AWS, Excel including key data science libraries? Proficiency in data visualization including Tableau? Experience working with large datasets? Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.? Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes? Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.? Desirable to have experience or aptitude solving problems related to risk using data science and analytics? Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.","Skills":"","Industry":"Database Administrator (DBA)","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":42.0000,"SalaryLow":33.6000,"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)\/"}

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting... key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.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/.

Aug 15, 2025

Saskatoon, SK

|

Data Warehousing

|

Contract

|

$36 - $45 (hourly estimate)

{"JobID":435185,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Saskatchewan","Zip":"S7K 5","ReferenceID":"CAL-e6b12f00-c2c5-4588-af43-fdab7548a1f2","PostedDate":"\/Date(1755296666000)\/","Description":"Insight Global is looking for a Simulation and Modelling Specialist for a 12 month contract. A successful candidate must sit in Saskatoon and be able to go into the office 5 days a week. Responsibilities include developing and implementing finite element simulation models for complex industrial systems, collaborating with cross-functional teams to translate operational challenges into computational experiments. Integrating simulation results with data analytics and machine learning to drive process optimization and predictive maintenance.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":"Simulation and Modelling Specialist","City":"Saskatoon","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Proficient in Python or similar programming languages for simulation and data analysis tasks.- Extensive experience in finite element analysis software and simulation principles.- Working experience with data science methodologies including statistical analysis, machine learning, and data visualization.- Excellent problem solving and communication skills. - Master?s degree or higher in Engineering, Applied Mathematics, Physics, etc.","Skills":"- Prior experience in industrial chemical or mechanical process simulation/modeling is strongly preferred.","Industry":"Data Warehousing","Country":"Canada","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":45.0000,"SalaryLow":36.0000,"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 looking for a Simulation and Modelling Specialist for a 12 month contract. A successful candidate must sit in Saskatoon and be able to go into the office 5 days a week.... Responsibilities include developing and implementing finite element simulation models for complex industrial systems, collaborating with cross-functional teams to translate operational challenges into computational experiments. Integrating simulation results with data analytics and machine learning to drive process optimization and predictive maintenance.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/.

Dec 04, 2025

Toronto, ON

|

Architect

|

Contract

|

$72 - $90 (hourly estimate)

{"JobID":473274,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Ontario","Zip":"M5X1A","ReferenceID":"TOR-2d1b29dc-78d5-445d-ab22-c7897b5f6c3a","PostedDate":"\/Date(1764816910000)\/","Description":"Insight Global is seeking a hands-on Solution Architect with deep expertise in AWS SageMaker and MLOps to lead the design, implementation, and strategic roadmap for enterprise-scale machine learning solutions in AWS. This role requires a strong technical foundation combined with the ability to drive architecture decisions, influence stakeholders, and ensure operational excellence in ML model deployment and lifecycle management.A background or strong understanding of wealth management processes, products, and data flows is essential to align ML solutions with business objectives in the financial services domain.Responsibilities? Architect and implement end-to-end ML solutions leveraging AWS SageMaker and related AWS services.? Define and own the strategy and roadmap for MLOps, ensuring scalability, security, and compliance.? Collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models into production environments.? Design CI/CD pipelines for ML workflows, including model training, testing, deployment, and monitoring.? Establish best practices for model governance, versioning, and reproducibility.? Provide technical leadership and mentorship to engineering teams on cloud-native ML architecture.? Partner with wealth management business stakeholders to align ML solutions with organizational goals and KPIs.? Stay current with emerging technologies and drive innovation in ML and cloud architecture.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":"AWS Sagemaker Architect","City":"Toronto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5+ years of experience in solution architecture with a focus on AWS cloud and ML systems.? Hands-on experience with AWS SageMaker for model training, deployment, and monitoring.? Proficiency in AWS services such as Lambda, Step Functions, CloudFormation, and IAM for secure and automated workflows.? Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow) to support operationalization of ML models.? Strong understanding of CI/CD pipelines for ML workflows using AWS tools.? Knowledge of wealth management domain (investment products, portfolio optimization, regulatory compliance) to align with business objectives.? Excellent communication and stakeholder management skills.","Skills":"? AWS Certified Solutions Architect ? Professional or Specialty in Machine Learning.? Experience with large-scale ML deployments in financial services or wealth management.","Industry":"Architect","Country":"Canada","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":90.0000,"SalaryLow":72.0000,"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 a hands-on Solution Architect with deep expertise in AWS SageMaker and MLOps to lead the design, implementation, and strategic roadmap for enterprise-scale machine learning... solutions in AWS. This role requires a strong technical foundation combined with the ability to drive architecture decisions, influence stakeholders, and ensure operational excellence in ML model deployment and lifecycle management.A background or strong understanding of wealth management processes, products, and data flows is essential to align ML solutions with business objectives in the financial services domain.Responsibilities? Architect and implement end-to-end ML solutions leveraging AWS SageMaker and related AWS services.? Define and own the strategy and roadmap for MLOps, ensuring scalability, security, and compliance.? Collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models into production environments.? Design CI/CD pipelines for ML workflows, including model training, testing, deployment, and monitoring.? Establish best practices for model governance, versioning, and reproducibility.? Provide technical leadership and mentorship to engineering teams on cloud-native ML architecture.? Partner with wealth management business stakeholders to align ML solutions with organizational goals and KPIs.? Stay current with emerging technologies and drive innovation in ML and cloud architecture.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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