#823 - MLOps Engineer

Job opportunity only available for LATAM residents

Responsibilities:

• Design, develop, and maintain ML pipelines for training, validating, deploying, and monitoring models in production.
• Implement CI/CD practices for Machine Learning workflows.
• Manage cloud or on-premise infrastructure to support ML models in production.
• Collaborate with data scientists and software engineers to optimize models and deployment processes.
• Continuously monitor and improve the performance of models in production.
• Ensure security and governance of ML models.
• Manage containers and orchestration using tools like Docker and Kubernetes.
• Implement versioning and traceability tools for models.

Requirements:

• Experience in developing and implementing MLOps solutions.
• Advanced knowledge of Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with orchestration tools like Airflow, Kubeflow, or MLflow.
• Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure tools like Terraform or CloudFormation.
• Experience in continuous integration and deployment (CI/CD) applied to ML.
• Ability to work with SQL and NoSQL databases.
• Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
• Understanding of DevOps concepts and best practices in software development.

What do we offer?

• Competitve salary in USD.
• 100% remote.
• Type of contract: Independent Contractor with Venon Solutions LLC.
• Contract duration: Long-term.
• Benefits: 2 weeks of PTO (paid time off).
• Holidays: from the North American calendar.
• Working hours: Full-time EST, fully committed.