MLOps Manager

Company:

Through custom research, advanced analytics and state of the art technology, they transform data into insights - enabling smart decision-making to improve business performance at the top and bottom line.

They combine Artificial Intelligence and Human Intelligence in a powerful blend that adds value for their clients.

It's a refreshingly different approach to organisational intelligence. A truly connected one. Their solutions are a unique fusion of talent, tech and tools, augmented by Amplifi, our organisational intelligence platform.

Role:

* Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP).
* Build CI/CD pipelines orchestration by Jenkins, GitHub Actions, Circle CI, Airflow or similar tools.
* Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
* 2 or more years of experience in docker container and Kubernetes.
* Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.
* Programming languages like Python or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
* Ability to understand tools used by data scientist and experience with software development and test automation.
* Ability to understand tools used by data scientist and experience with software development and test automation.

Desirable Skills:

* MLOps and model deployment.
* Experience with Python and Bash.

Expected Skills:

* MLOps, Jenkins, Terraform, Docker, Kubernetes.
* Any Cloud Platform.
* Python/Bash.