California Licensed ML Infrastructure Engineer

Job Summary

A company is looking for a Lead ML Infrastructure Engineer to develop and scale machine learning infrastructure.

Key Responsibilities

• Lead the design, implementation, and maintenance of scalable ML infrastructure solutions
• Collaborate with data science and ML teams to optimize model deployment workflows
• Develop and manage CI/CD pipelines to automate deployment processes

Required Qualifications

• Proven experience as a Machine Learning Engineer or Infrastructure Engineer focused on ML infrastructure
• Strong expertise in programming languages Python and Java
• Hands-on experience with cloud platforms, preferably GCP, AWS, or Azure
• Familiarity with machine learning frameworks like TensorFlow and PyTorch
• Experience with Infrastructure as Code tools, especially Terraform