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Mid-level ML role in metro Hyderabad with common 3+ years requirement and moderate employer brand.
ML skills transferable but healthcare/insurance and clinical coding preferences increase domain specificity.
Explicit 3+ years, mandatory GenAI, Kubernetes, Kubeflow, CI/CD, and Python requirement.
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Build, optimize, and scale machine learning models and retrieval-augmented generation (RAG) systems using LLM technologies to improve search and analysis of complex medical and insurance data.
Design and enhance embedding models, vector databases, and retrieval mechanisms focused on maximizing search relevance, reducing latency, and minimizing operational costs.
Develop evaluation frameworks and production-ready, agentic ML systems meeting healthcare and insurance standards with a focus on AI security and governance compliance.
Bachelor’s degree in Computer Science (focus on ML/AI), Engineering, Statistics, or related field.
Minimum 3 years industry experience including recent Gen AI technologies.
Proficiency in Python and ML frameworks; experience with containerization, Kubernetes, cloud-native ML tools (e.g., Kubeflow).
Experience with CI/CD pipelines and automated testing.
Experienced ML/AI engineer comfortable working with large-scale data systems and deployment in cloud-native environments.
Background or familiarity with healthcare or insurance domains, especially medical coding and clinical policy, is advantageous but not strictly required.
Able to develop scalable, secure, and governance-compliant ML solutions operationalizing recent advances in generative AI and retrieval systems.