Perform research, assessments, and technical evaluations of AI models, methods, and frameworks
Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets
Participate in internal professional communities of practice and mentor colleagues to raise artificial intelligence and data science maturity within the company
Proactively scan and keep up to date with AI research
Requirements
Bachelors, Masters or PhD in Artificial Intelligence, Machine Learning, Computer Science, Computer Vision, Image processing highly preferred
1+ years of relevant working experience in fields related to artificial intelligence, machine learning, data science
Understanding of artificial intelligence research landscape and ability to review research publications in fields such as generative AI, ML, NLP, or CV
Hands-on code development experience and familiarity with the Python scientific computing stacks
Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
Proficiency in GenAI, deep learning, NLP, CV, and ML frameworks
Familiarity with developing and deploying within a cloud based infrastructure and services (AWS or MS Azure environment) is plus
Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, or commercial is plus