Machine Learning Engineer
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Key skills for this role
About the Role
ML Engineer (4–9 yrs) Role Overview: Design, build, and operationalize ML models including predictive and generative AI.
Key Skills for This Role
Full Job Posting
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
• 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
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