Machine Learning Engineer

15 hours ago


bangalore, India S3B Global Full time

Job Requirement – Machine Learning EngineerJob Title: Machine Learning Engineer Location: Bangalore, India (Hybrid Onsite – Local candidates only) Interview Mode: Video Duration: 12+ Months (Contract to Hire)Role OverviewWe are seeking a highly skilled Machine Learning Engineer with hands-on experience designing, building, and optimizing ML models in production environments. The ideal candidate will possess strong Python programming expertise, a deep understanding of statistical and machine learning techniques, and experience working within Databricks-based data pipelines. This role requires close collaboration with data engineers, analysts, and product teams to deliver scalable, high-quality ML solutions.ResponsibilitiesDevelop, train, optimize, and deploy machine learning models for production use cases.Work with large datasets using NumPy, Pandas, and other Python-based data processing tools.Build and maintain scalable ML workflows on Databricks.Collaborate with cross-functional teams to implement end-to-end ML pipelines.Perform feature engineering, model evaluation, and experiment tracking.Write clean, maintainable, and efficient Python code.Troubleshoot and improve existing ML models and data workflows.Follow MLOps best practices for versioning, monitoring, and automation.Required Skills & Experience3–6 years of relevant experience in machine learning engineering.Strong proficiency in Python, NumPy, and Pandas.Solid understanding of machine learning algorithms, model training, evaluation, and deployment.Hands-on experience working with Databricks.Experience working with large datasets and cloud-based environments.Strong problem-solving skills and the ability to work independently in a hybrid model.Nice to Have (Optional)Experience with cloud platforms (Azure, AWS, or GCP).Familiarity with MLflow, Delta Lake, or Spark.Exposure to MLOps practices and CI/CD for ML pipelines.Experience with deep learning frameworks (PyTorch, TensorFlow).



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