AI/ML Data Scientist - Python, MLOps, Quantitative, Statistics

Dice is the leading career destination for tech experts at every stage of their careers. Our client, SES, is seeking the following. Apply via Dice today! Top 5

: • 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

: 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.

Translate complex business

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