Senior AI​/ML Engineer - Business Technology

Role Summary

Senior AI/ML Engineer in Business Technology at Johnson & Johnson in Titusville, NJ. You will shape, build, and manage AI and ML initiatives across Johnson & Johnson Innovative Medicine, acting as a domain expert in AI/ML Engineering with end-to-end product engineering responsibilities. You will work on both established and new projects to drive data science products through the lifecycle, partnering with cross-functional teams to deliver impact for patients and the business.

• Play a key role in the AI-enabled transformation of Commercial engagement through personal and non-personal channels, and other high visibility projects that drive impact for patients and for J&J Innovative Medicine.
• Shaping and developing new AI, ML, and other Data Science initiatives across JJIM Commercial NA.
• Partner with senior leaders and peers across technology and business functions to shape new AI and ML solutions and operations.
• Serve as domain expert in implementing solid software development life cycles for data science products.
• Create end-to-end AI/ML pipelines that integrate seamlessly into products through the product lifecycle – starting from proof-of-concept (POC) phase, moving into production, scaling, ongoing enhancements, and maintenance (ML Operations).
• Lead technical projects, taking end-to-end responsibility of ML solutions.
• Coordinate technical seminars, training sessions, and workshops focused on AI/ML to enhance the skills of data scientists, data engineers, and other technology professionals across the organization.

• Required:
  
  Ph.D. in a quantitative subject area such as software engineering, computer science, statistics, biostatistics, or supply chain. Or an equivalent educational background of M.S. with 3+ years or B.S. with 5+ years of experience of building AI/ML solutions.
• Required:
  
  Experience in building end-to-end data products, taking products from POC stage through the full product life cycle including operationalization and scaling.
• Required:
  
  Proficiency in one or more programming languages such as Python or R along with associated machine learning packages such as Tensor Flow, PyTorch, and Keras.
• Required:
  
  Experience in setting up, configuring, and managing CI/CD pipelines to ensure smooth and efficient software development workflows. Specifically working with frameworks such as Docker, Kubernetes, Helm, Jenkins, and Gitlab.
• Required:
  
  Experience working in multiple software development frameworks such as Agile.
• Required:
  
  Strong expertise in building and deploying machine learning models such as generalized linear regression, logistic regression, XGBoost, random forest, neural networks, NLP, GenAI or large language model (LLM).
• Required:
  
  Validated experience shaping AI and ML solutions in close partnership with business stakeholders based on business needs.
• Preferred:
  Proven success applying Data Science and ML Engineering methods to solve Commercial problems in the Pharma Industry.
• Preferred:
  Experience working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.
• Preferred:
  Experience working in cross-functional teams to deliver outstanding results.