SES
AI/ML Data Scientist - MLOps, Quantitative, Statistics
Washington, District of Columbia, USA · full-time
Sponsorship not specifiedDetected 49 days ago
PythonFull-Stack DevelopmentCode ReviewSQLRedshiftAWSMachine LearningTensorFlowscikit-learnPandasNumPyData ScienceMLOpsStatisticsSystems EngineeringCommunicationProblem Solving
About the role
- This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience.
- 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
Nice to have
- Translate complex business requirements into AI/ML-based technical solutions and ensure efficiency, scalability and reliability
- 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.
- Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ).
- 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.
Skills
- Statistical modeling, machine learning, AI, and applied analytics Python AWS ML Platforms (AWS SageMaker, MLFlow, S3, compute services,
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.