IN_Senior Associate_Gen AI_CEDA Central_Advisory_Bangalore
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply MLOps and LLMOps practices
- Architect enterprise GenAI solutions
- Automate AI workflows
- Build scalable AI platforms
- Collaborate with data engineering and cloud teams
- Conduct architecture and design reviews
- Create AI evaluation frameworks
- Define AI strategy and roadmaps with clients
- Design multi-agent systems
- Develop AI copilots and knowledge assistants
- Develop AI implementation plans
- Establish AI engineering standards
- Implement AI guardrails and governance
- Implement RAG architectures
- Lead AI product development
- Mentor engineering teams
Perks/Benefits
Skills/Tech-stack
AI Evaluation | AI Governance | Agent systems | Agentic AI | Amazon Web Services | Anthropic Claude | Autogen | Azure | Azure OpenAI | Cloud Computing | Cloud platform | CrewAI | Databricks | Generative AI | Google Cloud | Google Cloud Platform | Google Gemini | Knowledge Retrieval | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Microsoft Fabric | Multi-Agent | Multi-Agent Systems | OpenAI | Prompt engineering | Prompt orchestration) | Python | Responsible AI | Retrieval-Augmented Generation | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Technology | Master of Business Administration | Master of Computer Applications
Roles
Data Scientist | Engineer | Scientist | Senior Software Engineer | Software Engineer
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