Related skills
docker aws python kubernetes tensorflow📋 Description
- Design, develop, and implement MLOps pipelines for CI/CD of ML models.
- Collaborate with data scientists and engineers to optimize pipelines.
- Automate training, testing and deployment of ML models.
- Monitor and maintain model pipelines for performance and reliability.
- Optimize pipelines for scalability, efficiency and cost.
- Ensure security and data privacy in all MLOps activities.
🎯 Requirements
- 3-5 years of experience in MLOps, DevOps or related field.
- Bachelor’s degree in Computer Science, Data Science or related field.
- Proficiency in Python with TensorFlow or PyTorch.
- Experience with AWS, Azure, or Google Cloud ML services.
- Familiarity with Kubernetes and Docker.
- Knowledge of CI/CD pipelines and Git.
- Strong problem-solving and troubleshooting skills.
🎁 Benefits
- Competitive compensation and equity awards.
- Health, Dental and Vision coverage for full-time employees.
- Unlimited vacation.
- Flexible hours and work-from-home support.
- Daily drinks, snacks and catered meals when in office.
- Team-building activities on-site, off-site and virtually.
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