Lead Data Scientist Exp: 10+Yrs Loctaion: Bengalore/Gurgoan

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.

- 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.

Qualifications & Skills

- 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).

- Robust 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.

📌 Lead Data Scientist (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru