AI/ML Lead

11 hours ago

New Delhi, India Recro Full time

About the RoleWe 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 complianceWhat’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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