What are the responsibilities and job description for the #823 - MLOps Engineer position at Venon Solutions?
Job opportunity only available for LATAM residents
Responsibilities
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.
- 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.
- 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.
