Mid Machine Learning Engineer

Job Title: Mid Machine Learning Engineer

Key Skills: Python, SQL, PySpark, Machine Learning, MLflow, Databricks, scikit-learn, XGBoost, PyTorch, TensorFlow, Cloud Platforms

Experience: 3+ YOE.

Location: Open to candidates from approved hiring locations.

Mode: Remote.

We at Coforge are hiringMid Machine Learning Engineer (#15311-1-3) with the following skill set.

Key Responsibilities

• Design, develop, deploy, and maintain scalable production-grade machine learning models and pipelines in cloud environments.

• Architect and optimize data ingestion pipelines, feature engineering, and label sets for multi-terabyte clinical and consumer datasets.

• Manage the end-to-end ML lifecycle, including experimentation, training, validation, versioning, deployment, monitoring, and continuous model improvement.

• Collaborate with product, engineering, and business stakeholders to translate requirements into measurable ML solutions and rapidly prototype emerging ML technologies.

Required Skills & Qualifications

• 3+ years of experience as an ML Engineer, Data Scientist, or Data Engineer focused on building and deploying ML pipelines and models.

• 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 pipeline and model management tools such as MLflow or equivalent.

• Experience working with cloud-based environments including AWS, Google Cloud, Azure, or Databricks.

• Proven experience managing large datasets with a focus on data quality, scalability, and model training best practices.

• Experience with the full ML lifecycle, including experimentation, validation, deployment, monitoring, and model versioning.

• Strong software engineering fundamentals with ability to write clean, maintainable, reusable, and well-documented code.

• Strong communication and collaboration skills across technical and non-technical teams.

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience.

Preferred Skills:

• Experience with healthcare claims, EHR, or life sciences datasets.

• Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or a related technical field.

• Knowledge of MLOps practices, including CI/CD for ML, model versioning, and deployment.

• Experience with deep learning approaches for time series forecasting.

• Knowledge of time series forecasting, causal inference, or large language models.

• Experience defining success metrics with product managers or analysts.

• Experience working in fast-paced Agile environments.

Posted On: 24-09-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.