Title: Jr. Machine Learning Ops Engineer

Location: Remote

C2C not available | No third-party suppliers

About Workerbee

Workerbee is the AI-powered platform for trusted, modern hiring.

By joining Workerbee you can be matched for project-based, contract, or permanent opportunities with leading organizations.

We have customers in need of Jr. Machine Learning Ops Engineering talent.

We connect companies with the right mix of enterprise-proven experts and AI-savvy specialists; full-time, part-time, or project-based.

Our intelligent, multi-agent system deeply understands each specialist and every customer need, enabling better-fit matches and faster results.

We bring together people and intelligent systems to make hiring faster, smarter, and more human.

As a Workerbee:

You will help solve complex problems and bring real value to companies through hands-on expertise in machine learning model deployment, ML pipelines, and cloud-based MLOps platforms.

What our customers need help with:

* Deploying and maintaining machine learning models in production using platforms such as AWS SageMaker, Google Vertex AI, or Azure ML.

* Building automated ML pipelines using tools like Kubeflow, MLflow, Airflow, or Prefect.

* Monitoring model performance, data drift, and model reliability in production environments.

* Collaborating with data scientists and engineers to package, deploy, and scale ML models.

* Managing infrastructure for model training and inference using Docker, Kubernetes, and CI/CD pipelines.

What stands out amongst top talent:

* Familiarity with Python-based ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

* Experience building or maintaining ML pipelines and automated model deployment workflows.

* Understanding of containerization and orchestration tools such as Docker and Kubernetes.

* Knowledge of version control, CI/CD practices, and Git-based workflows.

* Curiosity and enthusiasm for learning new MLOps tools and emerging AI infrastructure technologies.

Why Join Workerbee

* Access: Work on high-impact projects with leading companies across North America

* Community: Join a trusted network of specialists and professionals in your field

* Growth: Expand your skills through exclusive learning and development opportunities

* Flexibility: Choose projects that fit your schedule and work style

Workerbee Terms of Service