Senior AI/ML Engineer - Business Technology

Role Summary

Senior AI/ML Engineer in Business Technology, based in Titusville, NJ. You will shape, build, and manage AI and ML initiatives across Johnson & Johnson Innovative Medicine, focusing on end-to-end data science products and the software development lifecycle. You will collaborate with cross-functional teams to deliver production-ready ML solutions that drive impact for patients and the business.

Responsibilities

• 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 lifecycles 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.
• Partner closely with cross-functional technical teams to ensure strong delivery.

Qualifications

• Required: Ph.D. in a quantitative subject such as software engineering, computer science, statistics, biostatistics, or related field; or MS with 3+ years or BS with 5+ years of experience building AI/ML solutions.
• Required: Experience in building end-to-end data products, taking products from POC through the full product lifecycle including operationalization and scaling.
• Required: Proficiency in one or more programming languages such as Python or R with ML packages including TensorFlow, PyTorch, and Keras.
• Required: Experience in setting up, configuring, and managing CI/CD pipelines with frameworks such as Docker, Kubernetes, Helm, Jenkins, and GitLab.
• Required: Experience working in Agile software development environments.
• Required: Strong expertise in building and deploying ML models such as generalized linear regression, logistic regression, XGBoost, random forest, neural networks, NLP, GenAI or large language models (LLM).
• Required: Validated experience shaping AI/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.

Skills

• End-to-end data science product engineering and ML Operations (model monitoring, productionization).
• CI/CD and ML pipeline development, with operations across the product lifecycle.
• Programming in Python or R; ML frameworks such as TensorFlow, PyTorch, and Keras.
• Solid software development lifecycle for data science products; Agile practices.
• Strong collaboration with cross-functional teams and business stakeholders.

Education

• PhD in software engineering, computer science, statistics, biostatistics, or a related quantitative field; or MS with 3+ years or BS with 5+ years of AI/ML experience.