Associate AI Engineer, OI&A

Role: Data Scientist within Obesity Intelligence & Analytics, focusing on delivering advanced AI/ML, GenAI, and software solutions to support enterprise functions. Responsibilities include solution design, prototyping AI-enabled applications, integrating data and models across workflows, ensuring production readiness with CI/CD, monitoring, and governance, and collaborating across multidisciplinary teams to enable scalable data science and AI solutions. Requirements: Bachelor’s degree in Computer Science, Data Science, Engineering, or 2+ years of relevant experience; proficiency in Python, SQL, enterprise architecture, and cloud-native solutions. Preferred skills include expertise in AI/ML engineering, GenAI, RAG, large language models, API development, and experience with Databricks, AWS, Spark, and agentic systems. Experience in life sciences, healthcare, or pharma environments is advantageous. The role involves working closely with business stakeholders to clarify workflows, translate complex problems into technical solutions, and deliver production-quality AI platforms. High-Value: enterprise solution architecture, applied AI/ML, GenAI, RAG, LLMs, MLOps/LLMOps, cloud-native and security best practices, and experience in healthcare or pharma sectors. Work setup: not explicitly specified, but implied to involve cross-functional collaboration potentially in a flexible or hybrid environment.