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Tier-1 brand, metro location, and mid-senior visible GenAI role drive medium applicant competition.
Advanced ML/agent skills transfer across industries, but regulated healthcare context increases specificity to medium.
Explicit 7+ years, 3+ years LLM experience, and mandatory tech/MLOps stack make shortlisting highly strict.
Build and deploy end-to-end agentic generative AI systems and classical ML solutions including design, development, MLOps, and production monitoring.
Develop advanced AI workflows using Large Foundational Multimodal Models, Model Context Protocol, and Retrieval-Augmented Generation pipelines on AWS/multicloud infrastructure.
Lead exploratory data analysis, algorithm optimization, evaluation via A/B testing, and real-time observability to ensure scalable, reliable, and ethical AI applications.
7+ years experience in AI/ML engineering and Data Science, with 3+ years hands-on with generative large language models and agents.
Expert-level Python proficiency and experience with AWS cloud services, GenAI frameworks (e.g., LangChain), and MLOps lifecycle including CI/CD and Docker.
Bachelor’s degree or higher in Computer Science, Physics, Statistics, Mathematics, or related field.
Location: Hyderabad, India, with ability to work hours overlapping Central European Time evenings.
Highly experienced in combining data science, ML engineering, and MLOps skills with demonstrated full-stack development ownership in production AI systems.
Proficient in agentic AI architectures involving multimodal models, state machines, and advanced AI orchestration frameworks relevant to scalable, low-latency applications.
Capable of leading architectural patterns and tech leadership responsibilities, and consulting cross-functionally with stakeholders in regulated industry environments.