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MLOps Engineer mfd

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Job Location drjobs

München - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your mission
At sewts we automate what others cant. Gripping of deformable materials like textiles is a task most humans see as intuitive and simple. However this is a complicated task for robots as they lack the detailed and contextual understanding of where and with what level of sensitivity to handle these textiles. As deeptech enthusiasts we teach robots humanlike perception skills.

We are building a foundational technology stack called sewts.JUPITER. JUPITER uses genAI to simulate realistically the behavior of deformable & soft objects to create corresponding computer vision models and grabbing strategies. Based on our physical AI first time ever robots get enabled to handle soft & deformable materials. With over 10M in funding we will bring automation into all untapped industries like cloth manufacturing textiles handling recycling & ecommerce.

You will make the difference! We have built a highperformance culture where efficient target achievement and consistent development is at the core of our company philosophy. We are working independently with ownership and a strong motivation to go the extra mile. We are setting our goals high enjoying our daily challenges while loving to share a laugh with our fellow team members. We are a diverse team with many different nationalities which values direct communication and open feedback.

You will be an integral part of our JUPITER Software Team which is responsible for bringing a highly performant AI platform specialised on deformable materials to life. It runs in all our robotic products which comprises a framework to train AI models a middleware to run a configurable pipeline including AI models computer vision algorithms on an edge device and a user interface for configuration calibration and monitoring.

As our new MLOps Engineer (m/f/d) you are knowledgeable in designing ML Ops Pipelines deep learning and computer vision. It is your mission to ensure reliable highspeed model serving as well as establishing standards for our AI Developers in model packaging monitoring and serving. As an ML Ops Engineer you will be responsible for designing building and maintaining scalable and reliable infrastructure for deploying machine learning models into production.

Here is how you will create an impact:

  • You develop software in Python with a focus on deep learning applications in robotic driven computer vision.
  • You Develop and maintain CI/CD pipelines for ML workflows.
  • You manage model packaging versioning testing and deployment in production environments.
  • Monitor model performance data drift and reliability of deployed models.
  • You perform continuous optimization of our neural networks.
  • You take an actively collaborating role with other AI Developers.
  • You actively contribute to our Scrum team and work closely with other members in the AI & Simulation Team.
Your profile
  • You have been working in Machine Learning for at least 3 years of which at least one has been in MLOps;
  • You have substantial experience in MLOps Tools like W&B and ClearML;
  • Experience in Workflows and metrics for computer vision and imagebased AI Applications;
  • You have extensive programming skills in Python and have already worked with Pytorch;
  • Experience with ONNX is a plus;
  • You speak fluent English;
  • You are communicative like to share your knowledge to advance the whole team and always keep the overview even in challenging problems.
Why us
  • Be a part of a leading robotics and automation startup in Munich and leave an impact from day one;
  • Develop your personal and professional skills with numerous opportunities; e.g. a yearly Learning and Development budget Growth and Learning days;
  • Engage in quarterly team events (e.g. barbecues summer parties ski trips and laser tag);
  • Enjoy life in Munich with a competitive salary package VSOPs and additional monetary benefits.
Your Talent Partner
We want to ensure a smooth recruitment process for you. If you have questions or would like to know more about this role your Talent Partner Fatima is there to support you.

You may use the following channels to connect with her:

Email:
WhatsApp:
About us

Employment Type

Full-Time

About Company

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