Posted 25 August, 2026
Product Technical Analyst - Emerging Tech
EdgeVerve Systems
KARNATAKA
Full Time
Reference: 36_310861_1427458
JD:
Job Description:
Job Level: JL4 | Experience: 4-6 years | Function: Data Science & AI
About the Role
We're looking for data science and AI engineering with 4-6 years of experience across core data science, Machine Learning, Generative AI, and Agentic AI. You'll build everything from statistical models to LLM-powered and autonomous agent solutions, driving real business impact while mentoring the team.
Key Responsibilities
Requirements
Job Description:
Job Level: JL4 | Experience: 4-6 years | Function: Data Science & AI
About the Role
We're looking for data science and AI engineering with 4-6 years of experience across core data science, Machine Learning, Generative AI, and Agentic AI. You'll build everything from statistical models to LLM-powered and autonomous agent solutions, driving real business impact while mentoring the team.
Key Responsibilities
- Design experiments and apply statistical techniques to extract insights from large datasets
- Build and deploy ML models (clustering, decision trees, neural networks, simulation) for predictive use.
- Build Generative AI solutions involving prompt engineering, fine-tuning and RAG pipelines using LLMs
- Design agentic AI systems involving multi-agent orchestration, tool calling, autonomous workflows.
- Host and deploy models and agents as scalable API-ready services
- Champion explainable and responsible AI practices across all solutions
- Mentor junior data scientists and present technical work clearly to non-technical stakeholders
Requirements
- 4-6 years of experience in data science, machine learning, or applied AI, with production deployment experience
- Advanced proficiency in Python and SQL for data manipulation and analysis at scale with solid statistical and ML foundation
- Hands-on experience with LLMs including RAG, prompt engineering, fine-tuning and agentic frameworks
- Practical experience building agentic AI systems involving tool calling and autonomous workflows.
- Familiarity with vector and orchestration frameworks like LangChain, LangGraph, LlamaIndex
- Experience with model and agent hosting (MLOps/LLMOps) and API deployments
- Excellent communication skills with ability to explain technical work to non-technical audiences
- Strong analytical and problem-solving mindset and comfortable working in a fast-paced ambiguous environment
