Role Overview
SES is hiring a mid-level AI/ML Data Scientist - MLOps, Quantitative, Statistics. This is a full-time hybrid role, based in Washington. Part of SES's Fullstack hiring, posted 3 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Sr AI/ML Engineer with Data Scientist and MLOps experience
Type: W2 With Benefits - No C2C
Location: Hybrid 2-3 days onsite in Washington, DC
Top 5 Technical Skills:
- Statistical modeling, machine learning, AI, and applied analytics
- Python
- AWS ML Platforms (AWS SageMaker, MLFlow, S3, compute services, Redshift)
- Model deployment and MLOps practices
- Data Processing
Job Description
We are seeking a Full Stack Data Scientist to develop AI/ML solutions end-to-end, from business problem formulation and model development through production-ready application delivery and operationalization. This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience. The ideal candidate builds models that matter, writes code that lasts, and partners with platform teams to deploy, monitor, and operate AI/ML solutions efficiently and reliably at scale.
Key Responsibilities Translate complex business requirements into AI/ML-based technical solutions and ensure efficiency, scalability and reliability Design, develop, validate, and document AI/ML models and applications Build production-grade Python code and pipelines for data processing, feature engineering, training, and inference. Develop model-driven applications and services (batch or real-time). Apply software engineering best practices including modular design, testing, code reviews, and CI/CD. Collaborate with MLOps teams on deployment, monitoring, versioning, and retraining. Implement model performance, stability, and data drift monitoring. Produce documentation to support governance, validation, and audit requirements.
Required Qualifications Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production. Strong experience in statistical modeling, machine learning, AI, and applied analytics. Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ). Experience writing production-ready, maintainable code and application design. Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift). Experience with model deployment and MLOps practices Strong problem-solving and communication skills.
Education Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
Benefits
SES hires W2 benefitted and non-benefitted consultants. Our contract employee benefits include group medical dental vision life LT and ST disability insurance, 21 days of accrued paid time off, 401k, tuition reimbursement, performance bonuses, paid overtime, and more.
Please contact me to discuss the details of this position further.
- Please forward resume directly to for immediate consideration - rstarinieri at sesc .com
I look forward to speaking with you soon!
Robin Starinieri
Director of Recruiting
Systems Engineering Services
Frequently Asked Questions
How do I apply for the AI/ML Data Scientist - MLOps, Quantitative, Statistics position at SES?
Use the Apply button above to submit your application directly to SES. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the AI/ML Data Scientist - MLOps, Quantitative, Statistics role at SES remote or in-office?
This is a hybrid role based in Washington. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a AI/ML Data Scientist - MLOps, Quantitative, Statistics at SES earn?
SES has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AI/ML Data Scientist - MLOps, Quantitative, Statistics role at SES posted?
This role was posted on June 5, 2026 (3 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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