Mlops - Hamburg, Deutschland - adjoe GmbH

adjoe GmbH

Geprüftes Unternehmen

Hamburg, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

As a part of the infrastructure team, you will work closely with the BI and Data Science team to help shaping the future of adjoe's core business and technologies, through enabling intelligent solutions based on data and insights.

You will have access to state of the art technology and work closely with all business stakeholders to implement new approaches on how to leverage our models in production, from model deployment to monitoring and online learning.

What you will do:

Design and implement cloud solutions, build MLOps on cloud (Mainly AWS)
Build CI/CD pipelines orchestration by GitLab CI, Airflow or similar tools
Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
Data science models testing, validation and tests automation
Communicate with a team of data scientists and DevOps engineers

Who you are:

You have 25 years of experience in developing data pipelines, deploying machine learning models as well as model tracking, monitoring and online learning
You have excellent analytical & communication skills and like to use these on Python or R or Scala as well as good understanding of Linux, knowledge of frameworks such as scikitlearn, Keras, PyTorch, Tensorflow, Catboost and others
You are able to design and implement cloud solutions and have ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
You have experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., as well as experience with Docker and Kubernetes
You have a strong experience in Deploying Spark clusters and Notebook platforms (Zeppelin, Jupyter)
You have a strong experience in developing machine learning pipeline from creating data pipelines to deploying machine learning models and monitoring their performance
You're interested in big data and have a basic understanding of the big data languages and tools
You are selfconfident and competent in communicating with different teams
You are able to dive deep into complex topics and explain them in an easy way to the stakeholders