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About the role
Role: AI/ML Engineer Location: Noida/ BLR/ Pune We are hiring AI/ML Engineers for Product based company in Insurance domain to build accelerators, data products, and AI-infused tools. This is an opportunity to build cutting-edge AI solutions that transform insurance operations- from underwriting automation to intelligent claims workflows. I Own my work- Responsibility with the Role: Design and implement ML models for risk scoring, claims triage & process automation Build and maintain data pipelines and feature stores for real-time ML systems Deploy models into production via APIs and batch inference pipelines Support GenAI applications for document processing & customer service automation Collaborate with data scientists and engineers to turn business needs into solutions Monitor model performance, detect drift, and improve accuracy over time Document code, maintain repositories, and contribute to knowledge sharing Expected Competency 4-9 years in AI/ML or Full-stack development with Python or data engineering Proficiency in Python, Pandas/NumPy, SQL Exposure to TensorFlow / PyTorch and cloud ML platforms Curiosity to learn MLOps tools (MLflow, Airflow, Kubernetes) What's in it for ME Founding member of India's AI engineering team Hands-on work with global insurance data & real business impact Learn from cutting-edge AI practices in an innovation-first culture Role: AI/ML Engineer Location: Noida/ BLR/ Pune We are hiring AI/ML Engineers for Product based company in Insurance domain to build accelerators, data products, and AI-infused tools. This is an opportunity to build cutting-edge AI solutions that transform insurance operations- from underwriting automation to intelligent claims workflows. I Own my work- Responsibility with the Role: Design and implement ML models for risk scoring, claims triage & process automation Build and maintain data pipelines and feature stores for real-time ML systems Deploy models into production via APIs and batch inference pipelines Support GenAI applications for document processing & customer service automation Collaborate with data scientists and engineers to turn business needs into solutions Monitor model performance, detect drift, and improve accuracy over time Document code, maintain repositories, and contribute to knowledge sharing Expected Competency 4-9 years in AI/ML or Full-stack development with Python or data engineering Proficiency in Python, Pandas/NumPy, SQL Exposure to TensorFlow / PyTorch and cloud ML platforms Curiosity to learn MLOps tools (MLflow, Airflow, Kubernetes) What's in it for ME Founding member of India's AI engineering team Hands-on work with global insurance data & real business impact Learn from cutting-edge AI practices in an innovation-first culture
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