Data Engineer With AI/ML

Skills:
6+ years of strong experience in Machine Learning & AI
Solid Data Engineering fundamentals
Python (mandatory); experience with ML libraries (scikit‑learn, TensorFlow, PyTorch)
Experience building automated ML pipelines
Model versioning, experiment tracking (MLflow, Weights & Biases, etc.)
CI/CD for ML workflows
Monitoring and drift detection techniques
Experience deploying models in cloud or on‑prem environments
SQL, data processing frameworks (Spark, Pandas)
Feature stores (nice to have)
Cloud platforms (AWS / Azure / GCP) — preferred