AI/ML Lead

3 weeks ago

Bengaluru, India Recro Full time

About the Role

We are looking for an experienced AI/ML Lead to define and execute the AI/ML strategy, with a strong focus on developing and deploying advanced models tailored to insurance use cases . You will lead the model lifecycle end-to-end, integrate GenAI/LLM solutions, and ensure governance and compliance in a regulated industry.

This is a founding-level opportunity to:

  • Shape the foundation of a next-gen insurtech platform.
  • Collaborate with a highly motivated team tackling real-world, high-impact challenges .
  • Design elegant, scalable systems that set new benchmarks for the industry.
  • Drive meaningful innovation in a space that is ripe for disruption .

Key Responsibilities

  • Define and drive the AI/ML strategy .
  • Design and implement native model integration frameworks .
  • Build scalable, objective-centric ML solutions for insurance applications (fraud detection, risk assessment, underwriting, claims automation).
  • Lead end-to-end ML lifecycle management — data preprocessing, model training, deployment, monitoring, and optimization.
  • Develop and fine-tune LLMs (GPT, Claude, LLaMA) with expertise in prompt engineering, RAG architectures, and evaluation frameworks .
  • Integrate ML models with enterprise applications (Java/Spring) via REST APIs.
  • Deploy and manage models in containerized environments (Kubernetes, Docker).
  • Establish governance for responsible AI : bias detection, explainability (LIME/SHAP), fairness metrics, and regulatory compliance.
  • Implement drift detection, automated monitoring, versioning, and A/B testing for continuous improvement.

Required Skills & Experience

  • 6+ years of hands-on experience in ML engineering and model lifecycle management.
  • Strong expertise in Python development (FastAPI, TensorFlow, PyTorch, Scikit-learn, XGBoost).
  • Proficiency in ML model deployment, versioning, A/B testing, and Kubernetes containerization .
  • Hands-on experience with document processing, OCR, NLP pipelines, and vector databases .
  • Proven ability to build and optimize LLMs and Generative AI solutions (fine-tuning, quantization, model optimization).
  • Familiarity with RAG pipelines, prompt engineering, and GenAI evaluation techniques .
  • Deep knowledge of model governance , including explainable AI, fairness metrics, and bias detection.
  • Experience in integrating ML solutions with enterprise systems .

Preferred Domain Expertise

  • Insurance industry experience in:
  • Fraud detection
  • Risk assessment
  • Underwriting models
  • Claims automation
  • AI regulatory compliance

What’s in it for You

  • The chance to be part of a founding-level tech team .
  • End-to-end ownership of AI/ML initiatives in a high-impact domain .
  • Opportunities to work on cutting-edge Generative AI and ML solutions .
  • A collaborative, high-growth environment where your work will create real-world impact .
  • Competitive compensation and benefits.

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