MLOps Engineer with Infrastructure

Job Title: MLOps Engineer with Infrastructure Location: Sunnyvale, CA (Onsite) Job Summary We are seeking an experienced MLOps Engineer with strong Infrastructure expertise to design, build, deploy, and manage scalable Machine Learning platforms. The ideal candidate should have hands-on experience with cloud infrastructure, Kubernetes, CI/CD, Infrastructure as Code (IaC), and ML model deployment. This role requires close collaboration with Data Scientists, ML Engineers, and Platform teams to deliver reliable, secure, and scalable AI/ML solutions.

Required Skills

• 8+ years of overall IT experience with at least 4+ years in MLOps/ML Infrastructure.
• Strong experience with MLOps platforms and ML model lifecycle management.
• Hands-on experience with AWS, GCP, or Azure (AWS preferred).
• Strong knowledge of Kubernetes (EKS/GKE/AKS) and Docker containers.
• Experience with Terraform, CloudFormation, or Ansible for Infrastructure as Code.
• Expertise in building CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Strong scripting skills in Python, Bash, or Shell.
• Experience with Linux Administration and cloud networking.
• Knowledge of Monitoring & Logging tools such as Prometheus, Grafana, ELK, or Datadog.
• Experience with Git, version control, and DevSecOps best practices.
• Familiarity with LLM deployment, model serving (vLLM, Triton, TorchServe), and inference optimization is a plus.
• Understanding of security, IAM, secrets management, and compliance in cloud environments.

Have a Great Day!

Warm Regards,

Sania Wadhwa Technical Recruiter Contact Details: 609-755-5388 Email: [email protected] 4365 Route 1 South, Suite 105 Princeton, NJ 08540 www.applabsystems.com