SES
AI/ML Data Scientist - MLOps, Quantitative, Statistics
Washington, District of Columbia, USA · full-time
Sponsorship not specifiedDetected 46 days ago
PythonFull-Stack DevelopmentCode ReviewSQLRedshiftAWSMachine LearningTensorFlowscikit-learnPandasNumPyData ScienceMLOpsStatisticsSystems EngineeringCommunicationProblem Solving
About the role
- 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!
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.
- Apply software engineering best practices including modular design, testing, code reviews, and CI/CD.
- Collaborate with MLOps teams on deployment, monitoring, versioning, and retraining.
- Produce documentation to support governance, validation, and audit requirements.
Nice to have
- This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience.
- 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.
- Experience with model deployment and MLOps practices Strong problem-solving and communication skills.
Skills
- Develop model-driven applications and services (batch or real-time).
- Implement model performance, stability, and data drift monitoring.
- 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).
Benefits
- 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.
This listing is sourced directly from SES's careers page and normalized into a canonical job model.