Lead Data Scientist

Role : Lead AI / ML Engineer

Location : Ahmedabad, Pune, Indore

Years of Experience : 8 to 12 years

Notice Period – 0-45 Days Max

We are looking for a highly skilled and experienced Lead AI / ML Engineer to lead the development and deployment of machine learning solutions across the organization. The ideal candidate will possess deep technical expertise in ML algorithms, cloud platforms (Azure), large language models (LLMs), and strong engineering practices. You will play a key role in designing scalable AI / ML systems, mentoring team members, and integrating advanced AI solutions into enterprise workflows.

Key Responsibilities :

• Lead the end-to-end design and development of machine learning models, from data preprocessing to deployment and monitoring in production.
• Architect and implement scalable MLOps pipelines using Azure ML, Azure Databricks, MLflow, and CI / CD workflows.
• Design and deploy LLM-based solutions, including Retrieval-Augmented Generation (RAG) and prompt engineering for enterprise use cases.
• Collaborate with product managers, data engineers, and business stakeholders to align AI solutions with organizational goals.
• Create insightful dashboards and visualizations using Power BI for model monitoring and business reporting.
• Apply software engineering and design principles to ensure reusable, testable, and maintainable ML code.
• Stay up to date with advancements in AI / ML, especially in Generative AI, Agentic AI and LLMs, and evaluate them for practical application.
• Review team deliverables, provide constructive feedback, and drive technical decision-making and architecture reviews.
• Contribute to the organization's AI / ML roadmap, guiding adoption of new tools, frameworks, and research-driven techniques.
• Mentor junior team members, conduct code reviews, and lead knowledge-sharing sessions.

Required Skills and Experience :

Preferred Certifications (Good to have) :

What We Offer :

Skills Required

Data Interpretation, Hypothesis Testing, Power Bi, Azure Databricks, Sql, Azure ML, Azure Data Factory, MLops, Azure Functions, Spark, Statistical Modeling, Python, Model Monitoring