MLOps Engineer

A company is looking for an MLOps Engineer to join their Talent Community for future opportunities.

Key Responsibilities

Bridge machine learning and scalable production systems

Engage in ongoing communication regarding new projects and potential roles

Facilitate quicker placement processes while ensuring a proper fit for both candidates and the company

Required Qualifications

3+ years of hands-on experience in MLOps from model deployment to monitoring and automation

Proficiency with Docker, Kubernetes, and infrastructure-as-code tools such as Terraform

Experience with CI / CD for ML using tools like Jenkins or GitLab CI / CD

Strong Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Understanding of cloud-based AI workflows with hands-on experience in AWS, GCP, or Azure