Staff Machine Learning Engineer
IND - Karnataka - Bangalore - Corp - Sarjapur Main Rd, India
INR 2500K-3465K (estimate) Senior-level Full Time
Tasks
- Build scalable ML pipelines
- Deploy and maintain machine learning solutions in production
- Ensure data quality for model training and deployment
- Integrate machine learning models into products and services
- Lead machine learning model development and optimization
- Manage end to end model lifecycle including retraining
- Monitor and evaluate deployed model performance
- Oversee large dataset preprocessing and analysis
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon SageMaker | Apache Spark | Automated Deployment | Automated Training | Automated deployment pipelines | Automated training pipelines | Azure | Cloud platform | Compliance | Deployment Pipelines | Distributed Systems | Docker | Experiment tracking | Explainability | Fairness | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Inference Optimization | Infrastructure as Code | Kubeflow | Kubernetes | LLM | MLOps | MLflow | Machine Learning | Model Monitoring | Model versioning | Prompt management | PyTorch | RAG | Responsible AI | Retrieval-Augmented Generation | Robustness | Scikit-learn | TensorFlow | Terraform | Training pipelines | Vertex AI | “as-code”
Education
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