Lead AI/ML Engineer - R01569428
Bangalore, Karnataka, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Add guardrails and input output validation
- Build and operate multi-agent systems
- Build evaluation datasets
- Define quality metrics for content outputs
- Deploy and manage AI solutions on cloud
- Design LLM and agent architectures
- Document architectural decisions and write runbooks
- Implement retrieval strategies
- Implement tool function calling
- Instrument tracing latency and spend telemetry
- Integrate vector stores
- Orchestrate human in the loop checkpoints
- Perform adversarial testing
- Protect PII and IP
- Prototype AI content use cases
- Scope AI requirements for content workflows
- Set up CI CD for model deployments
- Upskill engineering teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Adversarial Testing | Agent Orchestration | Agent systems | Autoscaling | Azure | Azure AI | Azure AI Search | CI/CD | Containerization | Conversational AI | Cost governance | CrewAI | Dialogue Management | Docker | Efficient Fine Tuning | Evaluation datasets | Few-Shot Learning | Few-shot | Fine Tuning | GCP | LLM | Langgraph | Language Understanding | Latency monitoring | LoRA | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Understanding | Ollama | OpenSearch | PEFT | PGVector | PII protection | Parameter efficient fine-tuning | Pinecone | Prompt engineering | Python | QLoRA | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Secrets management | Speech Recognition | Telemetry | Text Classification | Token Cost | Token Cost Governance | Tracing | Triton | VLLM | Vector Databases | Weaviate
Education
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
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