AI/ML Lead

4 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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