Lead Machine Learning Infrastructure Engineer

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

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:

Proven experience as aMachine Learning Engineer or Infrastructure Engineer with a focus on ML infrastructure.
Strong expertise in programming languages Python and Java.
Hands-on experience working with cloud platforms with a strong preference for GCP; AWS and Azure experience are also valuable.
Familiarity with popular machine learning frameworks such as TensorFlow and PyTorch along with libraries like scikit-learn.
Solid understanding of DevOps principles aMachine Learningnd experience with CI/CD pipelines.
Experience with Infrastructure as Code tools especially Terraform.
Proficiency in containerization technologies including Docker and Kubernetes.
Knowledge of big data processing tools like Apache Spark and Hadoop is highly preferred.
Excellent problem-solving abilities combined with effective communication skills.
Ability to work collaboratively in a fast-paced dynamic environment.

Preferred Qualifications:

Masters or Bachelors or Masters in Computer Science Data Science or related field.
Certifications in cloud platforms (e.g. GCP Professional Cloud Architect AWS Certified Solutions Architect).
Demonstrated experience leading a team or managing complex infrastructure projects.
Contributions to open-source ML or DevOps projects.
Experience with monitoring and logging tools such as Prometheus Grafana ELK stack.

Thanks & Regards

Vijaya Lakshmi

Lead Recruiter

Consulting Staffing Mobile & Web Solutions

Phone:

21800 Haggerty Road Suite 204 Northville Michigan 48167

MBE Certified E-Verify

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 ...