Senior Ai/Ml Engineer

Johnson & Johnson Innovative Medicine is recruiting for an innovative and motivated Senior AI/ML 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 Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at https://www.jnj.com/ .

Key Responsibilities:

Machine Learning, AI, and Data Engineering Technical Leadership

• Play a key role in the AI-enabled transformation of Medical engagement through personal and non-personal channels, and other high visibility projects that drive impact for patients and for J&J Innovative Medicine.

• Shaping, managing, and developing new AI, ML, and other Data Science initiatives across JJIM Commercial NA.

• Act as the technical lead for machine learning, AI, and data engineering solutions and products within Commercial NA.

• Collaborate with senior leaders and peers across technology and business functions to define and develop new Machine Learning, AI, and Data Engineering Solutions and Operations.

Technical Responsibilities

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

• Develop end-to-end AI/ML pipelines encompassing software engineering, data engineering, model development, and integration.

• Lead technical projects, taking end to end responsibility of AI/ML solutions.

Talent Development

• 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.

• Provide expertise and point of view on the value and efficiency of new capabilities and technologies to advance adoption of data sciences and engineering capabilities across innovative medicine.