Senior Data & AI Engineer - Enterprise ML & MLOps Lead

Biopharma Careers; Raritan (NJ); On-site; USD 94,000 - 152,000; Full time

Job summary

Johnson & Johnson is recruiting a Senior Data & Applied AI Engineer to design, build, and scale enterprise data products and AI services. You will lead data pipelines, MLOps, and AI integrations across cloud-native platforms.

The candidate will mentor engineers, establish standards, and translate Generative AI concepts into production-ready capabilities while collaborating with diverse teams.

Qualifications

• Bachelor's or Master's in CS/Engineering/Data Science or related field.
• 6+ years engineering experience delivering enterprise-scale data/AI platforms.
• Advanced proficiency in Python, PySpark, SQL, and distributed data processing.

Responsibilities

• Design, build, and optimize scalable batch and streaming data pipelines.
• Develop reusable, governed data products and analytical datasets.
• Design and implement AI/Generative AI solutions and MLOps capabilities.
• Build CI/CD pipelines, DevOps automation, and infrastructure-as-code.
• Collaborate with data scientists and stakeholders to translate business needs.

Skills

Python

PySpark

SQL

Data Engineering

MLOps

Azure

Databricks

API development

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Databricks

Azure Data Factory

Docker

Kubernetes

Job description

Johnson & Johnson is recruiting a Senior Data & Applied AI Engineer to design, build, and scale enterprise data products and AI services. You will lead data pipelines, MLOps, and AI integrations across cloud-native platforms.

The candidate will mentor engineers, establish standards, and translate Generative AI concepts into production-ready capabilities while collaborating with diverse teams.