Ai/ml lead

3 weeks ago

Bangalore, 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 Gen AI/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, LLa MA) 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 (Fast API, Tensor Flow, Py Torch, 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 Gen AI 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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