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About the role
Role Overview: As an AI/ML Engineer at our Product based company in the Insurance domain, you will be responsible for building accelerators, data products, and AI-infused tools. This role offers you the opportunity to work on cutting-edge AI solutions that revolutionize insurance operations, from underwriting automation to intelligent claims workflows. Key Responsibilities: - 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 Qualifications Required: - 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) Additional Details: Joining our team as an AI/ML Engineer, you will be a founding member of Indias AI engineering team. You will have the opportunity to work hands-on with global insurance data, creating a real business impact. Furthermore, you will have the chance to learn from cutting-edge AI practices in an innovation-first culture. Role Overview: As an AI/ML Engineer at our Product based company in the Insurance domain, you will be responsible for building accelerators, data products, and AI-infused tools. This role offers you the opportunity to work on cutting-edge AI solutions that revolutionize insurance operations, from underwriting automation to intelligent claims workflows. Key Responsibilities: - 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 Qualifications Required: - 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) Additional Details: Joining our team as an AI/ML Engineer, you will be a founding member of Indias AI engineering team. You will have the opportunity to work hands-on with global insurance data, creating a real business impact. Furthermore, you will have the chance to learn from cutting-edge AI practices in an innovation-first culture.
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