AI Lead

Bandhan Technologies Private Limited; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Bandhan Technologies Private Limited is seeking an experienced AI Lead to drive ML, data science, and AI solutions across underwriting, claims, customer experience, fraud detection, and risk analytics.

The role demands hands-on expertise and the ability to lead multiple projects or large-scale programs, mentoring data scientists and engineers while collaborating with cross-functional teams to translate business needs into scalable, data-driven outcomes.

Qualifications

• Strong hands-on experience with ML algorithms and data science techniques.
• Proficiency in Python, PySpark, and ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Experience in building and deploying end-to-end ML pipelines.

Responsibilities

• Lead design, development, and deployment of AI/ML solutions for Life Insurance use cases like underwriting and fraud detection.
• Manage and deliver multiple AI/ML projects or 12 large-scale programs end-to-end.
• Provide technical leadership and mentorship to data scientists, ML engineers, and analysts.
• Collaborate with business stakeholders to translate insurance requirements into data-driven solutions.
• Drive solution architecture, model development, feature engineering, and optimization.
• Ensure best practices in model validation, deployment, governance, and monitoring.
• Work with cross-functional teams including actuarial, underwriting, claims, and distribution.
• Stay updated with advancements in AI, Generative AI, and Agentic AI.

Skills

Machine Learning

Data Science

Python

PySpark

ML Libraries

End-to-end ML Pipelines

Feature Engineering

Model Evaluation

Distributed Systems

Generative AI

LLMs

Prompt Engineering

Fine-tuning

Tools

Scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Role Overview

We are looking for a highly skilled AI Lead with strong hands-on experience in Machine Learning, Data Science, and AI solutions .The candidate should have evolved into a technical leadership role and be capable of leading multiple projects or large-scale AI programs. The role involves driving AI-led transformation across underwriting, claims, customer experience, fraud detection, and risk analytics.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML solutions for Life Insurance business use cases such as underwriting, claims automation, persistency, and fraud detection
• Manage and deliver multiple AI/ML projects or 12 large-scale programs end-to-end
• Provide technical leadership and mentorship to data scientists, ML engineers, and analysts
• Collaborate with business stakeholders to translate insurance-specific requirements into data-driven solutions
• Drive solution architecture, model development, feature engineering, and optimization
• Ensure best practices in model validation, deployment, governance, and monitoring
• Work with cross-functional teams including actuarial, underwriting, claims, and distribution teams
• Stay updated with advancements in AI, Generative AI, and Agentic AI .

Required Skills & Expertise

• Strong hands-on experience in Machine Learning algorithms and Data Science techniques
• Proficiency in Python, PySpark, and ML libraries such as Scikit-learn, TensorFlow, or PyTorch
• Experience in building and deploying end-to-end ML pipelines
• Strong understanding of data preprocessing, feature engineering, and model evaluation
• -Experience working with large datasets and distributed Systems

Preferred Qualifications

• Exposure to Generative AI (Gen AI) solutions such as LLMs, prompt engineering, or fine-tuning
• Experience with Agentic AI systems or autonomous AI workflows - Experience with cloud platforms (AWS, Azure, or GCP) is a plus
• Strong stakeholder management and communication skills