AI Platform Engineer

Hi,

Hope you are doing well.

Please go through the below Job Description and I would humbly request you to apply with your latest resume. Our goal is not to just submit your profile but to secure an interview for you. If this email/Job Description has reached out to you in error, please accept my sincere apologies and disregard the email. Notify us via email, and we'd immediately remove you from consideration.

Job Title: AI Platform Engineer

Location: Wood Land Hills, CA(Onsite)

Duration: 6+ months contract

Need 10+ Years Profile

Job Description:

We are seeking a highly skilled AI Platform Engineer to design, build, and maintain scalable AI and machine learning platforms that enable data scientists and AI engineers to develop, deploy, monitor, and optimize AI models efficiently. The ideal candidate will have expertise in cloud computing, MLOps, infrastructure automation, containerization, and AI/ML technologies.

The AI Platform Engineer will work closely with Data Scientists, ML Engineers, Software Engineers, and DevOps teams to deliver secure, reliable, and scalable AI solutions across the enterprise.

Key Responsibilities:

• Design, develop, and manage enterprise-grade AI/ML platforms and infrastructure.
• Build and maintain MLOps pipelines for model training, deployment, monitoring, and governance.
• Develop scalable environments for machine learning workloads using cloud-native technologies.
• Automate AI model deployment and lifecycle management using CI/CD practices.
• Implement model monitoring, observability, logging, and performance tracking solutions.
• Optimize infrastructure for large-scale AI workloads, including GPU and distributed computing environments.
• Collaborate with data science teams to operationalize machine learning models.
• Ensure platform security, compliance, and governance standards are met.
• Evaluate and integrate emerging AI technologies, frameworks, and tools.
• Troubleshoot platform issues and improve reliability, scalability, and efficiency.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience in Platform Engineering, DevOps, Cloud Engineering, or MLOps.
• Strong programming experience in Python, Java, or Go.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with containerization technologies such as Docker and Kubernetes.
• Expertise in cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Strong knowledge of CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
• Experience with Infrastructure as Code (Terraform, CloudFormation, ARM/Bicep).
• Knowledge of model serving platforms such as MLflow, Kubeflow, Ray, SageMaker, or Azure Machine Learning.
• Strong understanding of distributed systems, APIs, and microservices architecture.