Kubernetes Architect

Lead Machine Learning Infrastructure Engineer Location : Mountain View, CA / Dallas, TX / Chicago, IL / NYC, NY

Duartion : Long term contract

10+ years of experience level required

Candidates who can work independently are more preferred

Required Skills : MLOps, TensorFlow, PyTorch, Terraform, Docker, Kubernetes, Prometheus, Grafana, ELK stack and any cloud certification.

About the Role :

We are seeking a highly skilled Lead ML Infrastructure Engineer to spearhead the development, deployment, and scaling of machine learning infrastructure. This pivotal role involves collaborating closely with data scientists, ML engineers, and operations teams to build robust, scalable, and efficient machine learning pipelines. The ideal candidate will be passionate about pushing the boundaries of ML infrastructure, and possess a deep understanding of cloud platforms, containerization, and big data technologies.

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.
• Architect and implement containerized environments using Docker and Kubernetes.
• Ensure infrastructure security, reliability, and compliance across cloud platforms.
• Optimize resource utilization and cost-efficiency in cloud environments.
• Drive best practices in Infrastructure as Code (IaC) with tools like Terraform.
• Stay current with the latest advancements in ML frameworks, cloud services, and infrastructure tooling.
• Mentor junior team members and promote a culture of continuous improvement.

Requirements :

Preferred Qualifications :

Thanks & Regards

Vijaya Lakshmi

Lead Recruiter

Consulting | Staffing | Mobile & Web Solutions

Phone : 21800 Haggerty Road, Suite 204 Northville, Michigan 48167

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