Job Description
We are looking for a curious and motivated analyst/engineer to join our Data & AI team. You will work on real-world data pipelines, build and evaluate ML models, and deploy intelligent agentic workflows powered by modern LLM tooling. This is a hands-on, fast-paced role.
Roles and responsibilities
- Effective knowledge sharing to researchers, coupled with Gen AI technology upgrading and mentoring
- Collect, clean, and transform structured/unstructured data for analysis and model training.
- Build and fine-tune ML models (classification, regression, clustering, NLP) using Python.
- Develop and test agentic AI workflows using LLM APIs (Claude, GPT-4o, Gemini) with tool use, memory, and planning.
- Integrate agents with external tools — search, databases, APIs — using MCP or function calling.
- Create PowerBi dashboards, visualisations, and reports to communicate insights to stakeholders.
- Evaluate and benchmark LLM outputs; implement prompt engineering and RAG pipelines.
- Assist in deploying models and agentic applications to Azure cloud or on-premise environments.
- Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.
- M.E/M.Tech : Multi-disciplinary Engg. domain with Data Science, Artificial Intelligence, Statistics, or a related field.
- Relevant certifications (Azure : Data Analytics, ML Specialty, DeepLearning.AI, etc.) are a strong plus.
- A GitHub portfolio demonstrating hands-on projects is strongly preferred over certifications alone.
- Experience building end-to-end agentic applications [ReAct agent, multi-agent system using CrewAI or AutoGen]
- Familiarity with MCP server development or custom tool integrations for LLMs.
Looking to get Placed? Try our Placement Guarantee Plan
- Contributions to open-source AI/ML projects on GitHub.
- Knowledge of LLM evaluation frameworks such as RAG
- Exposure to MLOps practices: experiment tracking, model versioning, and CI/CD pipelines.
- Strong analytical thinking and problem-solving ability.
- Eagerness to learn rapidly evolving AI/ML technologies and frameworks.
- Clear written and verbal communication for presenting findings to non-technical stakeholders.
- Ability to work independently and collaboratively in an agile team environment.
- Intellectual curiosity and a builders mindset — you like shipping things, not just experimenting.
Skills
Artificial IntelligenceData AnalyticsPythonData ScienceAi/mlAnalystPrompt EngineeringAnalyticsAiMlData ScientistIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
02 Aug 26, 02:10 PM IST
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