AI/ML Model Development jobs

AI/ML Engineer

Artech LLC · Posted Nov 10, 2026

Open

Plano, Texas, United States
On-site
Contract · Senior
$52–$55 per hour
7–10 years

AI/ML Engineer

Artech LLC · Posted Nov 10, 2026

Open

Plano, Texas, United States
On-site
Contract · Senior
$52–$55 per hour
7–10 years

AI/ML Engineer

Artech LLC · Posted Nov 10, 2026

Open

Plano, Texas, United States
On-site
$50–$60 per hour
8–10 years

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Strong hands‑on expertise in Python and end‑to‑end AI/ML model development, including data preparation, feature engineering, training, evaluation, optimization, and production integration.

Compensation

Pay rate: $50-$60/hr on W2/C2C

Responsibilities

Analyze business and technical requirements and design scalable AI/ML solutions aligned with enterprise architecture, security, privacy, and responsible AI standards.
Develop, train, evaluate, tune, and document machine learning, deep learning, NLP, and Generative AI models using Python, TensorFlow, and/or PyTorch.
Design and implement LLM‑based applications and Retrieval‑Augmented Generation pipelines using embeddings, vector databases, prompt engineering, orchestration frameworks, and appropriate evaluation methods.
Collaborate with data engineering, application, cloud, DevOps, QA, architecture, product, and business teams to integrate models into enterprise platforms through APIs and microservices.
Implement production‑readiness practices including automated testing, CI/CD, containerization, model versioning, monitoring, observability, drift detection, performance optimization, troubleshooting, and continuous improvement.

Skills

Python Machine Learning Deep Learning

Staff Machine Learning Scientist

Netskope · Posted Nov 12, 2026

Open

Santa Clara, California, United States
Full-time · Staff
$134K–$235K per year
8+ years

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Join the Netskope AI Labs to advance state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope Intelligent Security Service Edge (SSE) security platform, developing large-scale AI/ML solutions for SSE.

Compensation

Salary Range $133,500—$235,000 USD

Responsibilities

Identify strong AI/ML use cases in AI security, data security, and adjacent domains
Define scalable data acquisition and labeling strategy for specific use cases
Work with data engineers to retrieve, clean, and normalize data
Work closely with threat research and development teams in feature engineering
Develop ML models for defined use cases and implement KPIs

Requirements

Advanced degree in Computer Science
Advanced degree in Statistics
Advanced degree in Electrical Engineering
Nice to have: Natural language process (NLP)
Nice to have: Data mining

Skills

AI/ML model development Cloud security AI security CUDA Python

Human Health and Performance Systems Co-op (June - December 2027) - Group 02-24

MIT Lincoln Laboratory · Posted Nov 6, 2026

Open

Lexington, Massachusetts, United States
Internship · Intern
$23–$44 per hour

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Co‑op student to develop and evaluate AI/ML algorithms and image processing tools for biomedical technologies.

Compensation

Hourly pay rates are effective January - December 2027, and based on academic year. Technical co-op: $25.50 - $43.50 Administrative co-op: $23.00 - $27.00

Responsibilities

Prepare and process large, multimodal biomedical datasets
Develop and evaluate machine learning algorithms
Implement data visualization tools for advanced medical imaging technologies

Requirements

B.S. in Biomedical Engineering
M.S. in Biomedical Engineering
Ph.D. in Biomedical Engineering
B.S. in Electrical Engineering
M.S. in Electrical Engineering

Skills

AI/ML methods model architecture selection AI/ML model development Python PyTorch biomedical signal/image processing MATLAB

Analytics Foundry Leader

GE Vernova · Posted Nov 6, 2026

Open

Atlanta
$155K–$259K per year
10+ years

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Lead a high‑performing organization of data scientists, machine learning engineers, and digital architects to deliver predictive analytics for the Gas Power fleet.

Compensation

For candidates applying to a U.S. based position, the pay range for this position is between $155,300.00 and $258,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.

Responsibilities

Direct a team of 20+ data scientists and engineers across the full lifecycle of digital products
Partner with Applied Reliability and Product Service Engineering to define the "what" and with M&D Insights Central to define the "how"
Define the technical roadmap for AI/ML capabilities, data pipelines, and diagnostics
Govern model quality, health, and efficacy
Build, mentor, and retain a world‑class team

Requirements

Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Physics, or a related technical field from an accredited university
Nice to have: advanced degree (MS/PhD) in a quantitative discipline
Nice to have: experience leading large multi‑disciplinary technical organizations
Nice to have: industrial IoT
Nice to have: predictive maintenance

Skills

data science machine learning

Senior Manager AI Model Validation

Manulife · Posted Nov 6, 2026

Open

Toronto, Ontario, Canada
Hybrid
Full-time · Manager
CA$129K–CA$179K per year
3–5 years

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Support Global AI Model Validation and Governance’s mandate of identifying, assessing, and communicating AI/ML model risks across all AI/ML models deployed across Manulife globally.

Compensation

Salary range is expected to be between $129,400.00 CAD - $179,400.00 CAD

Responsibilities

Provide independent challenge and constructive feedback for AI/ML, GenAI, and agentic models by identifying model weaknesses, limitations, assumptions, and risks, and recommending appropriate remediation actions.
Manage competing deadlines, competing expectations, and coordinate procedural alignment to ensure the balance of risk management activities is commensurate with the business risk exposure.
Communicate complex technical concepts and validation findings to technical and non-technical stakeholders, while ensuring that the risk management process is followed.
Review model documentation, assess model design and performance, and communicate validation findings through clear, evidence-based reports and recommendations.
Conduct model testing, benchmarking, sensitivity analysis, and other validation activities.

Requirements

Master's degree or higher in Statistics, Biostatistics, Data Science, Engineering, Mathematics, or a related quantitative field.
Nice to have: AI governance
Nice to have: Responsible AI
Nice to have: Generative AI
Nice to have: LLMs

AI/ML Engineer

AI/ML Engineer

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AI/ML Engineer

Compensation

Responsibilities

Skills

Staff Machine Learning Scientist

Compensation

Responsibilities

Requirements

Skills

Human Health and Performance Systems Co-op (June - December 2027) - Group 02-24

Compensation

Responsibilities

Requirements

Skills

Analytics Foundry Leader

Compensation

Responsibilities

Requirements

Skills

Senior Manager AI Model Validation

Compensation

Responsibilities

Requirements

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