MLOps Tech Lead

The Position

As an MLOps Tech Lead you will be a part of the Algorithm team, collaborating with Data Scientists and ML/DL engineers to research, develop, and deploy machine learning models at large scale.

You will design and implement the ML lifecycle infrastructure, from data gathering, analysis, transformation/preparation to model training, development, and validation, and up to model serving, monitoring, and re-training.

Responsibilities

As a MLOps Tech Lead will oversee researching, communicating, and embedding data best practices in terms of architectures, services, and platforms, to continuously improve on ML processes, tools, and standards.

Requirements

●       3+ years’ experience as a MLOps engineer/AI Architect/DataEngineer. Alternatively, similar experience as a DevOps engineer/Full Stackdeveloper with proven experience in data pipelines and frameworks.

●       B.Sc. in Computer Science or equivalent.

●       Experience with dataengineering, databases, and big data pipelines

●       Experience with cloudservices and docker containers

Bonus:

●       Experience in Data and ML platform development and ability todesign and implement solutions to production at scale.

●       Experience with MLflow

●       Experience with CI/CDpipelines

●       Experience withTensorFlow/PyTorch/TensorBoard

●       Experience with dataversion control

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