Data Scientist – Core ML

Requirements

• Onsite – California Locals Only
• Visa: H1B, H4 EAD, GC, GC EAD, USC, L2S
• Experience: 8–12+ Years
• Strong expertise in Core Machine Learning, Applied ML & Data Science.
• Advanced Feature Engineering and Model Architecture Design.
• End-to-End ML Pipeline Development and Ownership.
• Strong mathematical foundations: Linear Algebra, Probability, Statistics & Optimization.
• Expert-level Python, SQL, Pandas, NumPy & Scikit-learn.
• Hands-on experience with PyTorch or TensorFlow.
• Distributed Computing – Spark, PySpark, Hadoop & BigQuery.
• Cloud ML Platforms – AWS SageMaker, Azure ML or Google Vertex AI.
• MLOps – MLflow, Docker, Kubernetes, CI/CD & Model Monitoring.
• Production Model Observability, Drift Detection & Model Performance Monitoring.
• Model Routing, Fallback Logic, Automated Alerts, Retraining & Rollback Strategies.
• Preferred: Recommendation Engines, Ranking & Personalization Systems.
• Preferred: Time-Series Forecasting & Anomaly Detection.
• Preferred: NLP, Transformers, Embeddings, NER & Text Classification.
• Preferred: LLM / Generative AI Exposure.
• Preferred: Enterprise Technology, Networking or Telecom Domain Experience.
• Preferred: Tableau / Power BI.
• Strong hands-on experience building, deploying and maintaining production-grade Machine Learning models.

How to apply

• Share updated resumes.

Location

• San Jose, CA