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In-demand ML/AI skills, strong employer brand and metro location increase applicant competition.
Core ML/LLM and MLOps skills transfer across industries, though pharma HEOR domain knowledge helps.
Explicit 6+ years and specific ML, LLM, MLOps and cloud requirements enforce strict filtering.
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Develop and deliver AI-powered and machine learning solutions to accelerate bringing medicines to patients.
Build and maintain ML pipelines and operationalize AI solutions in partnership with business and IT teams.
Advise and educate stakeholders on AI technologies including foundation models; stay current with emerging AI trends and innovations.
Bachelor's degree (implied by 'university degree' mention), with 6+ years experience in data analytics and AI/ML fields.
Strong programming skills in Python and experience with AI frameworks such as PyTorch or TensorFlow.
Hands-on experience with generative AI, prompt engineering, vector databases, and working with unstructured/semi-structured data.
Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps/model lifecycle management tools like MLFlow.
Experienced in leading implementation of large language model (LLM)-based AI solutions and advanced AI applications (RAG pipelines, AI agents).
Skilled at communicating complex AI insights effectively to both technical and non-technical business stakeholders.
Ability to analyze complex environments, improve processes, and drive strategic AI innovations aligning with business goals.