Job Description
Overview
We are seeking an experienced Lead Data Scientist to head high-impact AI/ML initiatives, with proven expertise across machine learning, deep learning, computer vision, and generative AI, coupled with a strong command of agentic AI frameworks and cloud-native development on Azure.
As a technical and strategic leader, you will architect robust AI solutions, mentor data scientists, and work closely with engineering and business teams to deliver scalable, production-grade models that drive measurable outcomes.
Your role
Define and lead the execution of AI/ML strategies aligned with organizational goals.
Design and deploy advanced ML/DL models including LLMs, GANs, and CV solutions.
Implement agentic AI systems that support autonomous orchestration of complex tasks.
Development of MLOps pipelines for versioning, retraining, testing, and deployment.
Champion best practices for experimentation, model explainability, and fairness.
Collaborate with cloud engineering teams to ensure seamless integration on Azure AI stack (e.g., Azure ML, Cognitive Services, OpenAI).




Mentor and review the work of junior and mid-level data scientists, ensuring quality and innovation.
Engage with business stakeholders to translate challenges into AI opportunities.
About you
10+ years of experience in data science, ML, or AI, with at least 3 years in a team/tech leadership role.
Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, Hugging Face, OpenCV.
Extensive experience in computer vision, generative AI, and natural language understanding.
Deep knowledge of agentic AI principles and orchestration tools (LangChain, Semantic Kernel, etc.).
Proven Azure cloud experience: deploying models via Azure ML, handling data via Azure Blob/Data Lake, using Azure OpenAI services.
Solid grasp of software engineering practices – version control, testing, CI/CD for ML (MLOps).
Strong communication and problem solving skills. Ability to articulate complex tech

📌 Lead Data Scientist (Mumbai)
🏢 AtkinsRéalis
📍 Mumbai