MLOps Engineer — Cloud CI/CD & Model Deployment

Accenture; United States; Remote; USD 22,000 - 45,000; Full time

Benefits offered by this job

Competitive salary

Flexible vacation

Health & travel insurance

Relocation

Work from home

Flexible hours

Training opportunities

Certifications

Career advancement

Inclusive culture

Job summary

Accenture is seeking a skilled MLOps Engineer to design and implement cloud-based ML infrastructure. You will build end-to-end pipelines, deploy models to AWS, Azure, or GCP, and ensure scalable operations across teams of data scientists and engineers.

Join a global, inclusive culture with training opportunities and certifications. Expect collaboration across Fortune 500 clients, modern tooling, and a pathway to advance your career.

Qualifications

• Ability to design and implement cloud solutions and MLOps pipelines on cloud platforms (AWS, Azure, or GCP).
• Experience with MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow; Docker and Kubernetes/OpenShift.
• Proficient in Python and Bash; knowledge of ML libraries (scikit-learn, Keras, PyTorch, TensorFlow).
• Understanding tools used by data scientists and software development/test automation.
• Fluent in English with strong communication and teamwork skills.

Responsibilities

• Design and implement cloud solutions, build MLOps on cloud ( AWS, Azure, or GCP ).
• Build CI/CD pipelines orchestration using GitLab CI, GitHub Actions, CircleCI, Airflow or similar tools.
• Review data science models, refactor code, containerize, deploy, version, and monitor quality.
• Test data science models and automation tests.
• Collaborate with a team of data scientists, data engineers, and architects; document processes.

Skills

Cloud design

MLOps pipelines

Python

Linux

English

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

Kubeflow

MLFlow

Airflow

Docker

Kubernetes

OpenShift

Job description

Accenture is seeking a skilled MLOps Engineer to design and implement cloud-based ML infrastructure. You will build end-to-end pipelines, deploy models to AWS, Azure, or GCP, and ensure scalable operations across teams of data scientists and engineers.

Join a global, inclusive culture with training opportunities and certifications. Expect collaboration across Fortune 500 clients, modern tooling, and a pathway to advance your career.