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ML Engineer (4–9 yrs)Role Overview:Design, build, and operationalize ML models including predictive and generative AI.Key Responsibilities:Develop predictive modelsBuild ML pipelines (MLOps)Optimize performance and accuracyDeploy models to productionWork on GenAI integrationsMonitor model performanceRequired Skills:Python (Scikit-learn, TensorFlow, PyTorch)Predictive modeling & feature engineeringMLOps tools (MLflow, Kubeflow, SageMaker)Model deployment & monitoringGenAI understandingGood to Have:Real-time inference systemsNLP & LLM exposure
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