We're seeking a Senior Machine Learning & MLOps Engineer to drive the development of scalable, production-grade generative AI systems. This role is ideal for someone eager to convert advanced research into robust, high-performance infrastructure that delivers real-world impact.

You'll play a central role in an AI transformation initiative—engineering solutions that bridge the gap between experimentation and production.

The Team

You’ll collaborate with a seasoned group of ML scientists, data engineers, MLOps specialists, and infrastructure experts. Together, the focus is not just on deploying models, but building the intelligent systems that operationalize them at scale.

Key Responsibilities

• Design and deploy production-ready generative AI services and infrastructure
• Build large-scale distributed systems—from ingestion layers to orchestration frameworks
• Develop and maintain MLOps platforms with automated pipelines for deployment, monitoring, and governance
• Collaborate across teams to integrate ML models into production environments
• Create and maintain documentation, tooling, and scalable ML workflows
• Support the development of an enterprise-wide AI platform

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in machine learning, data engineering, or related domains
• Experience in NLP/LLM projects
• Experience of having deployed live into Production (not POC)
• Proven experience writing clean, scalable, production-grade code
• Strong background in MLOps workflows, data orchestration, and model lifecycle
• Hands-on experience with containerization, cloud infrastructure, CI/CD, and distributed systems
• Familiarity with relational and non-relational databases and big data processing frameworks

This position can be based in NJ or NY and will pay up to $185k + bonus + benefits