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Strong brand, Bangalore metro, popular AI role and broad skillset drive high competition.
Core ML and MLOps skills transfer easily, but insurance governance and product context increases fit sensitivity.
Requires production ML experience, GenAI, MLOps, and cloud—tight technical and domain filters.
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Design, develop and deploy AI/ML models including NLP, predictive analytics, and GenAI to enhance product features and drive operational efficiency.
Collaborate with cross-functional teams to integrate AI capabilities into product workflows and ensure scalable deployment.
Manage end-to-end ML pipelines covering data ingestion, training, evaluation, deployment, and ongoing monitoring and tuning.
Strong experience in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proven track record of delivering AI solutions in production environments.
Experience with GenAI / LLMs including prompt engineering, RAG architectures, and API-based models.
Experience working in agile, squad-based delivery models. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in embedding AI solutions within product teams and working closely with engineering and product management.
Familiar with MLOps best practices including CI/CD, model deployment, and continuous monitoring.
Comfortable operating in fast-paced, iterative delivery environments with strong focus on business impact and collaboration.