Senior Ai/ml Engineer

Johnson & Johnson Johnson & Johnson · Pharma · Titusville, NJ +1

Senior AI/ML Engineer at Johnson & Johnson Innovative Medicine responsible for shaping and developing AI/ML initiatives, focusing on end-to-end product engineering. This includes creating AI/ML pipelines, building predictive models, designing Agentic AI systems with LLMs, and ensuring production deployment, monitoring, and evaluation in a regulated healthcare environment.

What you'd actually do

  1. Shape and develop AI/ML and other Data Science initiatives across J&J Innovative Medicine.
  2. 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).
  3. Design and build predictive ML models that identify and prioritize patients and healthcare providers most relevant to specific medicines, brands, and therapeutic areas, in order to predict clinically and commercially significant outcomes such as patient-identification and therapy-tolerance model products.
  4. Design and build Agentic AI systems built on large and small language models (LLMs and SLMs) that autonomously carry out multi-step commercial-engagement and analytics workflows, together with engineering platforms required to operate, evaluate, and measure those systems reliably and in compliance with healthcare-data regulations.
  5. Design evaluation and quality gates that determine whether a model or AI agent is reliable enough to promote to production.

Skills

Required

  • Python or R
  • TensorFlow, PyTorch, and Keras
  • Docker, Kubernetes, Helm, Jenkins, and Gitlab
  • generalized linear regression
  • logistic regression
  • XGBoost
  • random forest
  • neural networks
  • NLP
  • GenAI or large language model (LLM)
  • AI-enabled transformation
  • project management

What the JD emphasized

  • end-to-end product engineering
  • production deployment
  • model monitoring
  • healthcare-data regulations
  • AI-enabled transformation
  • production monitoring and ongoing evaluation

Other signals

  • end-to-end AI/ML pipelines
  • Agentic AI systems
  • LLMs and SLMs
  • production deployment
  • model monitoring
  • AI-enabled transformation