Senior AI/ML Engineer

Scorpion Therapeutics; New Jersey; Hybrid; USD 140,000 - 200,000; Full time

Job summary

Johnson & Johnson’s Innovative Medicine division seeks a Senior AI/ML Engineer to build end-to-end AI pipelines and deploy predictive models for patient and provider insights. You will lead AI-enabled transformations and collaborate across disciplines to deliver high-impact healthcare solutions.

The role requires a Master’s in a related field and 3+ years of AI/ML experience, with hands-on Python, R, TensorFlow, PyTorch, and model deployment using Docker/Kubernetes/Jenkins/GitLab in a hybrid

Qualifications

• Master’s degree in Business Analytics, Software Engineering, Computer Science, Statistics, or related field.
• Minimum 3 years’ experience in AI/ML engineering with hands-on work across typical frameworks and tools.
• Experience deploying ML models (regression, neural networks, NLP; GenAI) and managing CI/CD pipelines.

Responsibilities

• Shape AI/ML initiatives from proof-of-concept to production.
• Manage model lifecycle and establish engineering standards.
• Collaborate with cross-functional teams on high-impact projects like conversational analytics and agentic systems.

Skills

Python

R

TensorFlow

PyTorch

Keras

CI/CD

Docker

Kubernetes

Jenkins

GitLab

Education

Master’s degree in Business Analytics, Software Engineering, Computer Science, Statistics, or related field

Tools

Python

R

TensorFlow

PyTorch

Keras

Docker

Kubernetes

Jenkins

GitLab

Job description

Senior AI/ML Engineer

Responsible for developing and deploying advanced AI and machine learning solutions within Johnson & Johnson’s Innovative Medicine division. Main objectives include building end-to-end AI/ML pipelines, designing predictive models for patient and healthcare provider insights, and leading AI-enabled transformation initiatives.

Responsibilities

Responsibilities encompass shaping AI/ML initiatives from proof-of-concept to production, managing model lifecycle, establishing engineering standards, and collaborating with cross-functional teams on high-impact projects like conversational analytics and agentic systems.

Requirements

Requirements: Master’s degree in Business Analytics, Software Engineering, Computer Science, Statistics, or related field; minimum 3 years’ experience in AI/ML engineering, including hands-on work with Python, R, TensorFlow, PyTorch, Keras, and managing CI/CD pipelines with Docker, Kubernetes, Jenkins, Gitlab; experience deploying various ML models (regression, XGBoost, neural networks, NLP, GenAI). High-value: focus on healthcare AI applications, including predictive patient modeling, large language models, product lifecycle management, and healthcare data regulations.

Work Setup

Hybrid remote in Titusville, NJ, with flexible telecommuting.