ML Ops Architect: AI Pipelines with Python

Sapsf; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Sapsf is seeking an ML Ops Technical Specialist in the United States to architect and implement ML Ops pipelines, automate model training and deployment, and monitor ML systems at scale.

You will design CI/CD pipelines, develop IaC templates, and integrate robust monitoring across cloud platforms. This role requires leadership in DevOps practices and mentoring team members on ML workflow optimization.

Qualifications

• Expert in ML Ops frameworks and tooling as listed.
• Strong Python automation for ML pipelines.
• Proficient in CI/CD orchestration and infrastructure as code.
• Experience with cloud-native ML deployments on AWS/Azure/GCP.
• Solid monitoring and logging across ML systems.

Responsibilities

• Architect and implement ML Ops solutions using Python, MLflow, Kubeflow Pipelines, and TFX.
• Design and manage CI/CD pipelines for ML projects.
• Develop IaC templates with Terraform and CloudFormation.
• Integrate monitoring with Prometheus, Grafana, ELK, Fluentd.
• Lead DevOps practices and version control strategies.
• Act as ML Ops SME and guide the team.
• Mentor team members on ML Ops tooling and cloud pipelines.
• Review project deliverables for client alignment and quality.
• Recommend client-focused value creation using ML Ops best practices.

Skills

ML Ops

Python

CI/CD tooling

Terraform

Cloud platforms

Monitoring & logging

Version control

Shell scripting

End-to-end ML pipelines

Education

Bachelor's degree

Tools

Jenkins

GitLab CI/CD

CircleCI

GitHub Actions

Terraform

AWS CloudFormation

Ansible

Prometheus

Grafana

ELK Stack

Fluentd

Job description

Sapsf is seeking an ML Ops Technical Specialist in the United States to architect and implement ML Ops pipelines, automate model training and deployment, and monitor ML systems at scale.

You will design CI/CD pipelines, develop IaC templates, and integrate robust monitoring across cloud platforms. This role requires leadership in DevOps practices and mentoring team members on ML workflow optimization.