Machine Learning Engineer

ML Engineer (4–9 yrs)

Role Overview:

Design, build, and operationalize ML models including predictive and generative AI.

Key Responsibilities:

• Develop predictive models
• Build ML pipelines (MLOps)
• Optimize performance and accuracy
• Deploy models to production
• Work on GenAI integrations
• Monitor model performance

Required Skills:

• Python (Scikit-learn, TensorFlow, PyTorch)
• Predictive modeling & feature engineering
• MLOps tools (MLflow, Kubeflow, SageMaker)
• Model deployment & monitoring
• GenAI understanding

Good to Have:

• Real-time inference systems
• NLP & LLM exposure