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 :

8+ years of experience in Machine Learning, Software Development, and Data Analytics.

Proficient in Python, SQL, and C#, with a strong background in software engineering.

Hands-on experience with Azure ecosystem (Azure ML, Azure Data Factory, Azure Functions).

Strong experience in Azure Databricks, Spark, and distributed data processing.

Expertise in LLM integration, RAG pipelines, and prompt engineering for generative AI applications.

Deep understanding of statistical modeling, hypothesis testing, and data interpretation.

Solid foundation in MLOps, model monitoring, drift detection, and pipeline automation.

Strong understanding of software engineering and design patterns in ML system development.

Proficient in Power BI for visualization and reporting.

Preferred Certifications (Good to have) :

Microsoft Certified : Azure Data Scientist Associate

What We Offer : Competitive Salary

Work Life Balance

Professional Development

Innovative Work Environment.

Recognition and Rewards