Role Overview:

A hands-on Applied AI leader to both build AI systems and drive enterprise adoption . To work closely with the Leadership Team, and functional leaders to design, deliver, and embed AI into core workflows across insurance value chain including sales, underwriting, and operations.

To identify high-impact opportunities, translate business problems into AI solutions, and ensure successful deployment and adoption of AI systems.

Key Focus Areas:

- Own end-to-end delivery of AI systems, from problem framing to production and adoption.
- Translate business problems into analytical / AI problem statements and architect complete solutions.
- Hands-on design and development of ML/GenAI driven workflows
- Own AI products end-to-end, driving change management and adoption to embed AI into workflows across the value chain
- Track impact and continuously improve models and processes.
- Lead by example in execution while mentoring engineers and data scientists.

Qualifications & Competencies:

- A first-principles problem solver who challenges the status quo, thinks creatively, and has a strong bias for action.
- 10–12+ years of strong hands-on experience in Advanced Analytics, Data Science, Predictive Modelling, and Deep Learning.
- Proven ability to translate business problems into AI/analytics use cases and solution blueprints.
- Ability to influence without authority across business and tech teams.
- Strong at embedding AI into workflows and driving adoption.




- Excellent executive storytelling using data, can explain complex Analysis and AI simply to CxOs.
- Solid understanding of statistics, machine learning, and model evaluation techniques.
- Solid proficiency in Python, SQL , and ML/DL libraries (PyTorch/TensorFlow, scikit-learn, etc.).
- Proven experience with LLMs : prompt engineering, fine-tuning (LoRA/PEFT), RAG, agents, and orchestration frameworks (LangChain, LlamaIndex, or similar).
- Experience with NLP, text mining, speech AI (ASR/STT, TTS), and conversational AI pipelines.
- Experience with computer vision and video models , embeddings, and familiarity with transformer-based video architectures (e.g., VideoMAE, TimeSformer, etc.).
- Experience building multimodal systems combining text, voice, vision, and structured data for decisioning.
- Experience in designing system architectures that combine models, APIs, and workflows.
- Experience deploying AI systems on cloud platforms ( AWS/Azure/GCP ); strong exposure to AWS services (Lambda, S3, SNS, SQS, EC2, RDS, KMS, SageMaker). Familiarity with Docker, Kubernetes , CI/CD, and scalable inference pipelines.
- Experience in Insurance, BFSI, FinTech, or HealthTech preferred.
- Exposure to digital analytics platforms (e.g., Google Analytics, BigQuery) is a plus.
- Bachelor’s or Master’s degree in Engineering, Technology, Statistics, Data Science, or related fields from a reputed institute; MBA is a plus.

📌 AI Transformation Lead (Mumbai)
🏢 Bandhan Technologies
📍 Mumbai