SES
AI/ML Data Scientist - Python, MLOps, Quantitative, Statistics
Washington, District of Columbia, USA · Contract
Sponsorship not specifiedDetected 49 days ago
PythonFull-Stack DevelopmentCode ReviewSQLRedshiftAWSDevOpsMachine LearningTensorFlowscikit-learnPandasNumPyData ScienceMLOpsStatisticsSystems EngineeringCommunicationProblem Solving
About the role
- This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience.
- Strong experience in statistical modeling, machine learning, AI, and applied analytics.
- Contact Information: Please contact me for all of the details of the client company, environment, and the position.
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.
Requirements
- 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.
Nice to have
- 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.
Skills
- Develop model-driven applications and services (batch or real-time).
- Implement model performance, stability, and data drift monitoring.
- Statistical modeling, machine learning, AI, and applied analytics Python AWS ML Platforms (AWS SageMaker, MLFlow, S3, compute services,
Company info
- Please contact me for all of the details of the client company, environment, and the position.
- I look forward to speaking with you.
This listing is sourced directly from SES's careers page and normalized into a canonical job model.