Intelliswift - An LTTS Company
Machine Learning Engineer
Job Description
Must Have:
Python‑based ML development (production ML pipelines & models)
ML frameworks: Scikit‑learn, XGBoost/LightGBM/CatBoost, and PyTorch or TensorFlow
Feature engineering & feature pipelines (large‑scale, automated where applicable)
Big data processing: Apache Spark / PySpark, Databricks, Delta Lake
MLOps: MLflow (experiment tracking, model registry), model versioning, retraining pipelines
Deployment & Ops: Docker, Kubernetes, REST APIs (FastAPI/Flask), CI/CD and cloud ML services (AWS/Azure/GCP)