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.
- Robust 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 co

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