AI-ML Engineer II
Bengaluru East, Karnataka, India
R
INR 4000K-5876K (estimate) Senior-level Full Time
Tasks
- Architect and improve retrieval augmented generation systems
- Build and harden MLOps and LLMOps pipelines
- Define prompt engineering standards and evaluation frameworks
- Design and build production agentic AI and multi agent workflows
- Design integrations with enterprise applications and APIs
- Develop fine tune and optimize models and LLM pipelines
- Establish engineering quality patterns and conduct code reviews
- Evaluate emerging models tools and techniques for enterprise use
- Lead technical design and delivery of machine learning components
- Mentor junior and mid-level engineers
- Produce technical documentation design specifications and deployment artifacts
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Agentic AI | Airflow | Autogen | Azure | CI/CD | Containerization | CrewAI | Docker | Drift Detection | Evaluation Frameworks | Generative AI | Google Cloud | Guardrails | Hugging Face | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | PEFT | Prompt engineering | PyTorch | Python | Ray | Retraining | Retrieval-Augmented Generation | Secure AI | TGI | TensorFlow | Triton | VLLM | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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