Senior AI or ML Engineer
Primary location: Gurgaon, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build data and feature pipelines
- Develop and deploy LLM capabilities
- Ensure data privacy and HIPAA compliance
- Establish MLOps and LLMOps best practices
- Implement CI CD model registry and experiment tracking
- Implement model governance and responsible AI
- Implement prompt design fine tuning and RAG pipelines
- Lead architecture and delivery of ML and GenAI solutions
- Mentor engineers and set engineering standards
- Monitor models for drift and performance
- Run A B testing and cost performance optimization
- Set up vector indexing and model evaluation with guardrails
- Translate business problems into technical roadmaps
- Write and optimize Python and SQL for data processing
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | Data Privacy | Docker | Drift Detection | Embeddings | Experiment tracking | Experimental Design | Fairness | Feature Engineering | Fine Tuning | GCP | Git | HIPAA | Hugging Face | Hypothesis Testing | Kubernetes | LLMOps | LLMs | Langchain | Language Processing | Llamaindex | MLOps | Model Drift | Model Drift Detection | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | PyTorch | Pytest | Python | RAG | Responsible AI | SQL | Statistics | TensorFlow | Terraform | Transformers | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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