- Build scalable data pipelines using Python and modern data platforms.
- Develop and deploy AI/ML models with focus on monitoring and performance optimization.
- Perform data processing, automation, and AI/ML workflow development.
- Execute data modeling, transformation, and analytics engineering using SQL.
- Work with finance and enterprise datasets ensuring accuracy and governance.
- End-to-end AI use cases including chatbots, NLP, Agentic applications, and model training.
- Implement Agent-to-Agent (A2A) architectures.
- Focus on RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale.
- Work with structured and unstructured data pipelines.

Requirements

Must-Have:

- 3 to 5 years of relevant experience.
- Solid hands-on Python integration for data processing,



automation, AI/ML workflows, and pipeline development.
- AI/ML expertise with hands-on experience in model development, deployment, monitoring, and performance optimization.
- Strong SQL for data modeling and transformation.
- AWS with 1 years of experience.
- Experience in S3, Lambda, Cloud Formation.

Nice-to-Have:

- Cloud & Data: Snowflake for data platform work, DBT for analytics engineering.
- Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns.
- LLMs: OpenAI (GPT-4/4.1), Anthropic.
- AWS Services: Code Pipeline, EC2, ECS.

📌 AI/ML Data Engineer (Bengaluru)
🏢 Accelon Consulting
📍 Bengaluru