Building and iterating on data science models to solve complex business challenges
Building feature stores to ensure a single source of truth ML models will use
Exploring and proposing technical solutions, especially when documentation is limited or problems are not well-defined
Contributing clean, well structured code to shared repositories, following good coding and version control practices
Collaborating with stakeholders and presenting insights clearly, ensuring technical outputs are understandable and actionable
Demonstrating strong problem-solving ability by independently navigating ambiguous or novel technical challenges
Delivering high quality traditional AI or data science models that align with client needs
Communicating confidently and clearly about your technical decisions, approach, and results in stakeholder discussions

2–4 years of relevant experience delivering technical solutions end to end
A strong mathematics or quantitative background (essential for model development)
Solid programming skills in Python, SQL and Snowflake
Experience building traditional AI or data science models (e.g., forecasting, segmentation, classical ML techniques
Excellent communication skills with demonstrated experience explaining complex concepts clearly and confidently to technical and non‑technical audiences
A self-starter mentality, comfortable defining your own process and working in start-up like environments
Exposure to agentic or Gen AI systems (nice to have)
Experience building neural networks, transformers, or LLM based architectures (nice to have)

A highly structured corporate environment with clearly defined processes (we’re lean, fast, and self driven)
A Hybrid role
regular in office collaboration in Pune is required and highly valued by the team
A position focused primarily on Gen AI; the emphasis here is on traditional, rigorous data science work with selective use of agentic AI

AI Consultant

Key skills