MLOps Engineer for Heineken
Job details
Role Description This is a full-time remote role as an MLOps Lead professional at Heinekein. As an MLOps specialist, you will be responsible for overseeing the machine learning operations, ensuring smooth deployment, monitoring, and maintenance of machine learning models. Your day-to-day tasks will involve collaborating with data scientists, engineers, and other cross-functional teams to optimize workflows and enhance model performance. Qualifications
- Proficiency in programming languages such as Python, R
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn
- Strong knowledge of cloud platforms such as Azure
- Hands-on experience in building and deploying machine learning models
- Ability to work in a fast-paced environment and collaborate effectively with multidisciplinary teams
- Experience in end to end ML model deployment
- Experience with docker / Kubernetes
- Experience with CI/CD pipelines
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