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 hiring Mid 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.