Principal AI-ML Engineer
Bengaluru East, Karnataka, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Architect enterprise machine learning and large language model systems
- Define enterprise AI and Generative AI technical vision
- Drive high risk cross functional programs from vision to production
- Establish best practices for RAG and agentic AI
- Govern architecture in enterprise forums
- Lead build versus buy model and tooling evaluation
- Mentor AI engineers and provide technical authority
- Own enterprise MLOps and LLMOps platform strategy
- Set responsible AI security guardrails and compliance standards
- Translate emerging research into enterprise capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Airflow | Azure | Cost Optimization | Distributed Training | Distributed inference | Fine Tuning | Generative AI | Google Cloud | Governance | Hugging Face | Knowledge Distillation | Kubernetes | LLMOps | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Model Serving | NVIDIA Triton | PEFT | PyTorch | Python | Ray | Retrieval-Augmented Generation | Security | TGI | TensorFlow | VLLM | Vector Databases
Education
Roles
AI | AI/ML Architect | AI/ML Engineer | Architect | Engineer | ML Architect | ML Engineer | Principal | Principal AI/ML Engineer
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