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Mid-level ML role in metro with broad MLOps requirements, attracting many qualified applicants.
Core ML and MLOps skills are transferable, though manufacturing domain expertise is preferred.
Explicit 5-8 years, mandatory production ML, Azure/Databricks and MLOps skills enforce strict technical filters.
Develop, implement, and operationalize predictive and prescriptive ML models including computer vision to deliver measurable business value across manufacturing, commercial, and business operations.
Build production-ready ML solutions on enterprise platforms (Databricks, Azure ML) including code adhering to MLOps best practices with model training, deployment, and monitoring.
Collaborate cross-functionally to translate complex challenges into scalable ML solutions and contribute to evolving data science capabilities in Hyderabad.
Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
5-8 years experience in data science or machine learning with demonstrated impact.
Hands-on experience with Python ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and cloud platforms like Azure or Databricks.
Experience in building and deploying production ML models following MLOps practices including version control and CI/CD.
Experienced in cross-domain applications of machine learning in manufacturing, commercial analytics, or supply chain.
Familiar with modern ML engineering practices, cloud-based ML platforms, and collaborative code development in enterprise settings.
Capable of leading end-to-end ML initiatives from concept to production with strong communication skills bridging technical and business teams.