Senior Machine Learning Engineer

• Design, build, and deploy end-to-end machine learning pipelines in production

• Develop and optimize ML models using supervised and unsupervised learning techniques

• Implement feature engineering, hyperparameter tuning, and model evaluation strategies

• Build and maintain scalable ML systems with strong focus on performance and reliability

• Work on MLOps practices including CI/CD pipelines, model monitoring, and drift detection

• Collaborate with data engineering teams to design robust data pipelines (batch and streaming)

• Ensure model governance including bias detection, explainability, and reproducibility

• Translate business requirements into scalable and production-ready ML solutions

• Work closely with cross-functional stakeholders in a global delivery environment

• Mentor junior team members and contribute to engineering best practices

Technical Skills Required

• 8+ years of experience in Data Science / Machine Learning with production deployment experience

• Strong hands-on expertise in Python and ML frameworks such as scikit-learn, pandas, NumPy, TensorFlow, and PyTorch

• Solid experience in building and deploying ML models end-to-end

• Strong understanding of supervised and unsupervised learning techniques

• Experience with MLOps tools such as MLflow, CI/CD pipelines, model monitoring, and drift detection

• Exposure to cloud platforms such as Azure ML, Databricks, AWS, or GCP

• Strong knowledge of Docker, Kubernetes, and GitHub Actions

• Strong data engineering skills including SQL, APIs, and batch/streaming data processing