AI Machine Learning Engineer

at  Johnson Johnson

Johnson & Johnson Innovative Medicine is recruiting for an innovative and motivated AI Machine Learning Engineer who will lead the shaping and development of AI/ML solutions across Commercial North America . This position’s primary location will be Titusville, New Jersey.
At J&J Innovative Medicine, what matters most is helping people live full and healthy lives. We focus on treating, curing, and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.
J&J Innovative Medicine provides medicines for an array of health concerns in several therapeutic areas, including Cardiovascular, Metabolic, Mental Health, and Pain Management. Growing on a diverse company culture, celebrating the uniqueness of our employees, and committed to inclusion. Proud to be an equal opportunity employer. For more about the Pharmaceutical Companies of Johnson & Johnson, visit: https://www.jnj.com/innovative-medicine

REQUIRED QUALIFICATIONS

• Ph.D. in a quantitative discipline 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 in healthcare industry.
• Proficient in exploratory data analysis, data transformation, feature creation & engineering, and data visualization using programming languages including SQL, Python, PySpark along with associated machine learning packages such as TensorFlow, PyTorch, and Keras.
• 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).
• Experience with deploying data/model pipelines in machine learning platforms such as AWS (SageMaker, Argo, Kedro), Docker, Databricks, Dataiku.
• 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.
• Presentation skills for diverse technical and/or business audiences.

PREFERRED QUALIFICATIONS:

• Proven success in applying Data Science and ML engineering methods to solve Scientific and Medical Affairs problems in the Pharma industry.
• Experience working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs
• Experience working in cross-functional teams to deliver outstanding results

TECHNICAL RESPONSIBILITIES

• Collaborate closely with commercial NA functions to rapidly prototype and integrate machine learning and AI models into technology 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 AI/ML solutions.