Senior AI - ML Engineer
Bengaluru East, Karnataka, India
R
INR 3242K-5000K (estimate) Senior-level Full Time
Tasks
- Design and scale RAG and knowledge systems
- Drive responsible AI security guardrail and cost optimization
- Establish engineering standards patterns and reusable frameworks
- Evaluate and pilot emerging models and tools
- Lead cross functional delivery managing technical risk
- Lead design of agentic AI and multi agent systems
- Lead technical design and delivery of ML and LLM systems
- Mature MLOps and LLMOps practices
- Mentor and coach engineers
- Own architecture of AI features and services
- Produce and review design documentation and deployment artifacts
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic AI | Airflow | Amazon Web Services | Anthropic | Automated retraining | Azure | CI/CD | Containers | Cost Optimization | Deep learning | Distributed Systems | Drift Detection | Gemini | Generative AI | Google Cloud | Guardrails | Hugging Face | Knowledge bases | Kubernetes | LLMOps | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI | PEFT | PyTorch | Python | RAG | Ray | Responsible AI | Retrieval-Augmented Generation | Security | TensorFlow | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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