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Strong employer brand, metro location, and broad AI skillset give moderate candidate competition.
Advanced ML/LLM and MLOps skills transfer across industries, but pharma HEOR domain knowledge adds moderate sensitivity.
Explicit 6+ years requirement plus mandatory ML, LLM, and MLOps skills increases shortlisting rigidity.
Develop and deliver AI-powered and ML pipeline solutions to accelerate medicine delivery and drive business value in Global Market Access and HEOR IT.
Partner with business and IT teams to scale, operationalize AI initiatives, and educate stakeholders on AI applications for competitive advantage.
Serve as a knowledge expert on foundation models, communicate insights to technical and non-technical audiences, and stay current with emerging data science trends.
6+ years of experience with advanced knowledge in data & analytics and related functions.
Proficiency in Python/R programming, machine learning frameworks (Pytorch/Tensorflow), GitHub, cloud platforms (AWS/GCP/Azure), and MLOps principles.
Experience developing and deploying generative AI solutions, prompt engineering, vector databases, fine-tuning deep learning models, and working with unstructured data.
Work Experience Required: 6+ years; Notice period: Not explicitly mentioned in the JD.
Experienced in leading AI/ML initiatives with a focus on foundation models and advanced large language model technologies (e.g., LLM-based solutions).
Skilled in operationalizing AI solutions across business units to drive measurable competitive advantages and scalable implementations.
Analytical thinker adept at translating complex data into actionable business insights, influencing decisions across technical and non-technical stakeholders.