Sr. Principal Machine Learning Engineer
INR 3264K-5500K (estimate) Senior-level Full Time
Tasks
- Architect and build production machine learning systems
- Build scalable data and feature pipelines
- Create production AI architecture and evaluation documentation
- Design scalable AI services and APIs
- Develop NLP and LLM solutions with RAG and prompt engineering
- Ensure responsible AI security and governance
- Implement MLOps and LLMOps with CI CD and monitoring
- Implement model evaluation and quality measurement
- Lead technical design for retrieval augmented generation and LLM orchestration
- Mentor engineers and promote best practices
- Monitor model drift and production performance
- Train fine tune and deploy neural network models
- Use model registry and experiment tracking
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Amazon SageMaker | Automated testing | Azure | By Design | CI/CD | Convolutional Neural Networks | Data Drift | Data drift monitoring | Databricks | Deep learning | Docker | Drift monitoring | Dspy | Embeddings | Experiment tracking | GCP | Generative AI | Hugging Face | Kubernetes | LLM orchestration | LSTM | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Model Drift | Model Evaluation | Model Monitoring | Model Registry | Model drift monitoring | Neural Networks | Observability | Predictive Modeling | Privacy by Design | Prompt engineering | PyTorch | Python | Recommendation Systems | Recurrent Neural Networks | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | Secure by Design | Semantic Search | System design | TensorFlow | Text2SQL | Transformers | Version control
Education
N/A
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