Lead ML Engineer

Lead ML Engineer responsible for translating business requirements into clear problem statements, designing data & ML architectures, and deploying models on a major cloud ML platform.

Requirements

• 8+ years in applied ML & data engineering (3+ years leading delivery of production ML systems)
• Python expert with production-grade SQL; strong with pandas/Polars, scikit-learn, and one of: XGBoost/LightGBM
• Fluency in core ML toolkits including TensorFlow, PyTorch, scikit-learn, and familiarity with Hugging Face or equivalent frameworks
• Proven record of constructing and maintaining scalable data pipelines—both batch and streaming—for model training and deployment
• Data platforms: hands-on with one of: Oracle ExaData, Spark/Databricks, or Snowflake, BigQuery/Redshift or equivalent; comfortable with open table formats (Iceberg/Delta/Hudi)
• Orchestration: real projects using one of Airflow, Prefect, or Dagster
• Cloud ML platform: production deployments on one of SageMaker, Vertex AI, or Azure ML (pipelines, endpoints, registries)
• MLOps: CI/CD for ML, experiment tracking, model registry, observability (latency, errors), and data/model drift monitoring

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship