AI/ML Lead

2 days ago

Bengaluru, Karnataka, India Recro Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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