Job Description: Lead Data Scientist – ML, GenAI, CV, Agentic AI, Azure
Location: Bangalore
Experience Required: 10+ years in AI/ML/Data Science
About the Role
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.
Key Responsibilities
- 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.
Required Skills & Qualifications
- 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.
- Strong grasp of software engineering practices – version control, testing, CI/CD for ML (MLOps).
- Strong communication and problem solving skills. Ability to articulate complex technical concepts to non-technical audiences.
- Proven track record in delivering AI projects to production and scaling them.
Preferred Qualifications
- Master’s/PhD in Computer Science, Data Science, AI, or related field.
- Experience with vector databases, knowledge graphs, or RAG architectures.
- Familiarity with privacy-preserving ML, model governance, and responsible AI.
Pay: ₹180,000.00 - ₹200,000.00 per month
Education:
Experience:
- lead data scientist: 10 years (Required)
Work Location: In person
