Mid Machine Learning Engineer

About the role

Coforge is seeking a Mid Machine Learning Engineer to design, develop, and maintain production‑grade ML models and pipelines in cloud environments. The role involves collaborating with product, engineering, and business teams to translate requirements into measurable AI solutions.

Key responsibilities

• Design, develop, deploy, and maintain scalable machine‑learning models and pipelines on cloud platforms.
• Architect and optimise data ingestion, feature engineering, and label generation for multi‑terabyte clinical and consumer datasets.
• Manage the full ML lifecycle: experimentation, training, validation, versioning, deployment, monitoring, and continuous improvement.
• Collaborate with cross‑functional stakeholders to prototype emerging ML technologies and ensure alignment with business goals.

Required profile

• 3+ years of experience as an ML Engineer, Data Scientist, or Data Engineer building and deploying ML pipelines.
• Strong proficiency in Python, SQL, and PySpark for large‑scale data processing.
• Hands‑on experience with ML frameworks such as scikit‑learn, XGBoost, PyTorch, or TensorFlow.
• Experience with ML lifecycle tools like MLflow and cloud platforms (AWS, Google Cloud, Azure, Databricks).
• Solid software engineering fundamentals and ability to write clean, maintainable code.

Required skills

• Python
• SQL
• PySpark
• scikit‑learn
• XGBoost
• PyTorch
• TensorFlow
• MLflow
• Databricks
• AWS / Google Cloud / Azure