Principal AI-ML Engineer
Bengaluru East, Karnataka, India
R
INR 3264K-5876K (estimate) Senior-level Full Time
Tasks
- Architect large scale ML and LLM systems
- Define AI security and guardrail standards
- Define enterprise AI technical vision
- Define enterprise generative AI architecture
- Define model evaluation and safety standards
- Define responsible AI governance standards
- Establish best practices for RAG
- Establish best practices for agentic AI
- Govern AI platform accelerators and reusable components
- Lead build vs buy model selection
- Lead cross functional AI programs to production
- Mentor AI engineering org
- Own enterprise LLMops platform strategy
- Own enterprise MLOps platform strategy
- Set AI architecture standards
- Translate research into enterprise capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Amazon Web Services | Apache Airflow | Artificial Intelligence | Azure | Cloud Computing | Cloud platform | Distributed Systems | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Guardrails | Hugging Face | Kubernetes | LLMOps | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Model Distillation | Model Evaluation | Model Serving | NVIDIA Triton | PEFT | PyTorch | Python | Ray | Retrieval-Augmented Generation | Safety governance | Security | TGI | TensorFlow | VLLM | Vector Databases | Web Services
Education
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