Senior Machine Learning & MLOps Engineer

We’re looking for a seasoned engineer to lead the development of scalable, production-grade generative AI systems. This role is perfect for someone passionate about turning cutting-edge research into robust, high-performance infrastructure that delivers real-world impact.

You’ll be at the heart of an AI transformation initiative, building solutions that bridge the gap between experimentation and production.

The Role

• Design and deploy production-ready generative AI services and infrastructure
• Build large-scale distributed systems—from data ingestion layers to orchestration frameworks
• Develop and maintain MLOps platforms with automated pipelines for deployment, monitoring, and governance
• Collaborate with cross-functional teams to integrate ML models into production environments
• Create and maintain documentation, tooling, and scalable ML workflows
• Contribute to 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
• Hands-on experience with NLP/LLM projects
• Proven track record of deploying models into live production environments
• Strong background in MLOps workflows, data orchestration, and model lifecycle
• Proficiency with containerization, cloud infrastructure, CI/CD, and distributed systems
• Familiarity with relational and non-relational databases and big data frameworks

Why Join?

• Competitive compensation: up to $185k + bonus + benefits
• Flexible location: Needs to be able to commute to NY or NJ office
• Opportunity to work on enterprise-scale AI initiatives with a highly skilled team of ML scientists, data engineers, and infrastructure experts

If you’re ready to operationalize AI at scale and make a tangible impact, we’d love to hear from you.