Machine Learning Engineer (Thiruvananthapuram)

ML Engineer Location: Hybrid

Employment Type: Full-time

Design, build, and deploy machine learning models across classical, time-series, and deep learning approaches to solve real business problems.

Data Pipelines: Build and maintain reliable data ingestion and transformation pipelines, ensuring data quality, consistency, and reproducibility.

Engineer high-quality features from structured and unstructured data, and manage them through feature stores for training and serving consistency.

Model Deployment: Package models into containerised services, expose them via APIs, and deploy to cloud ML platforms for scalable, low-latency inference.

Implement CI/CD for ML, automated retraining workflows, model registry, and champion–challenger promotion to keep models production-ready.

Monitoring & Validation: Track production model performance, detect data and concept drift, and continuously validate accuracy against business KPIs.

Partner with data engineers, software engineers, analysts, and business stakeholders to translate problems into ML solutions and explain results clearly.

Experience: 3–5 years of hands-on machine learning experience with at least one model successfully deployed to production.

Core ML: Robust grounding in supervised learning, regression, classification, ensemble methods, and time-series forecasting.

Programming: Proficiency in Python and the scientific stack — pandas, NumPy, scikit-learn, PyTorch (or TensorFlow) — with production-grade coding practices.

Solid understanding of feature design, scaling, encoding, handling missing data, and preventing data leakage.

Working knowledge of Docker, REST API serving (FastAPI / Flask), experiment tracking (MLflow / Weights & Biases), and at least one cloud ML platform (AWS, GCP, or Azure).

Data Engineering Fluency: Comfortable with SQL, workflow orchestrators (Airflow / Prefect / Dagster), and modern data warehouses (Snowflake / BigQuery / Redshift).

Version Control & CI/CD: Git, pull-request wor Apply on Kit Job: kitjob.in/job/4n8ki7