Senior Data Scientist – Core Machine Learning

Tasks

• End-to-end ML pipeline development, deployment and monitoring.

Requirements

• 8–12+ Years
• Strong expertise in Python, SQL, Pandas, NumPy and Scikit-learn.
• Hands-on experience with Regression, Classification, XGBoost, Clustering and Deep Learning.
• Strong feature engineering and model architecture experience.
• Experience with PyTorch / TensorFlow and Spark / PySpark.
• MLOps tools: MLflow, Docker, Kubernetes and CI/CD.
• Model observability, drift detection, automated retraining and rollback.
• Experience with model routing, fallback mechanisms and model selection logic.
• Cloud ML platforms: AWS SageMaker, Azure ML or Google Vertex AI.
• Looking for candidates with strong Core ML and production model-building experience.
• Profiles focused primarily on GenAI, RAG, prompt engineering or chatbot development without solid ML experience will not be considered.

Schedule

• Onsite

How to apply

• Share your updated resume by email.

Location

• San Jose, CA