Production ML Engineer for High-Load Recommendations

NITLab; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

NitLab is hiring a talented ML Engineer/Data Scientist in the United States to optimize production ML models, with a focus on recommendation systems and scalable inference.

The role requires strong Python and ML framework skills. You will work on turning prototypes into reliable services, collaborating across teams and leveraging PyTorch and Kubernetes to support offline and online evaluation of models.

Qualifications

• Strong Python programming skills.
• Experience with production-grade ML models.
• Experience with recommendation systems preferred.

Responsibilities

• Optimize ML models for production environments.
• Improve inference performance and model quality for high-load applications.
• Collaborate with cross-functional teams to deploy scalable ML services.

Skills

Python

PyTorch

Kubernetes

Recommendation systems

Model optimization

Tools

Kubernetes

Job description

NitLab is hiring a talented ML Engineer/Data Scientist in the United States to optimize production ML models, with a focus on recommendation systems and scalable inference.

The role requires strong Python and ML framework skills. You will work on turning prototypes into reliable services, collaborating across teams and leveraging PyTorch and Kubernetes to support offline and online evaluation of models.