Senior MLOps Engineer, LiveEO

AI & Satellite Data

Salary not provided

Offers an employee stock option program

AWS

Python

PyTorch

Sagemaker

Senior level

Berlin

Office located in Kreuzberg, Berlin

Business-ready risk intelligence from space

Job no longer available

Business-ready risk intelligence from space

101-200 employees

B2BEnterpriseEnergyBig dataInternet of ThingsSaaS

Job no longer available

Salary not provided

Offers an employee stock option program

AWS

Python

PyTorch

Sagemaker

Senior level

Berlin

Office located in Kreuzberg, Berlin

101-200 employees

B2BEnterpriseEnergyBig dataInternet of ThingsSaaS

Company mission

To unlock the full potential of Earth Observation data for the benefit of all mankind and to protect life on Earth.

Job

Company

Role

Who you are

Strong experience in designing, automating, implementing, monitoring and maintaining services around model training and inference and adjacent fields
Experience with an AI application platform such as Anyscale / Ray, or a strong willingness to learn
Experience with Python or another major programming language, with a strong emphasis on writing clean, efficient, and maintainable code
Familiarity with model training services like AWS Sagemaker or PyTorch Lightning
Some experience with DataOps and best practices around data engineering
Knowledge of parallel computing, including concurrent programming and performance optimisation, to handle high-volume data processing tasks
Experience in building ML systems around image data, particularly satellite imagery
Familiarity with geospatial data processing tools and techniques, such as PostGIS and Cloud Optimized GeoTIFFs (COGs)

What the job involves

Design, implement, and maintain cost efficient, resilient and scalable ETL, and ML (inference and training) pipelines for both production and to enable data scientists
Collaborate with cross-functional teams to identify and implement model training and automation solutions that enhance our product offerings
Work with orchestration engines such as Prefect to orchestrate and automate data workflows
Drive continuous improvement initiatives in inference and training pipelines
Become a key expert for ModelOps best practices in the company
Refactor, redesign, rebuild existing services
Align with other software, machine learning, data and infrastructure experts in the company and influence the evolution of our tech stack
Mentor more junior and software engineers and review their MRs

Our take

LiveEO’s Earth Observation platform uses satellite data, data analysis software, and AI to help infrastructure companies monitor and assess risks. Backed by the European Space Agency, LiveEO, founded in 2017, has major European clients like Deutsche Bahn, E.ON subsidiaries, and Gascade. And a partnership with Planet enables global scaling of its monitoring operations.

Since 2021, LiveEO has tripled its revenues and doubled its workforce, showcasing its successful integration of space tech and enterprise data. Recently, it also secured $10M from Greencode Ventures, allowing entry into the market for compliance with the European Union Deforestation Regulation (EUDR). This regulation mandates companies verify their imported commodities do not contribute to deforestation.

LiveEO’s AI models are enhancing climate resilience for global infrastructure networks, including collaborations in the USA, Australia, and Japan. The company's new deforestation monitoring solution positions LiveEO as a leader in this emerging market too. With a robust AI and deep tech stack, LiveEO is setting a new industry standard, unlocking the full potential of earth observation for humanity and life on Earth.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

23% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 8 rounds)

Jun 2024

$28.9m

SERIES B

Nov 2023

$10.6m

EARLY VC

Total funding: $72.3m

Company HQ

Wrangelkiez, Berlin, Germany

Leadership

Sven Przywarra

(Co-Founder & Co-CEO)

Previously worked in science-focused startup, Part-Time Scientists in the business development and PR teams. Studied Industrial Engineering and Management at Technische Universität Berlin.

Daniel Seidel

(Co-Founder & Co-CEO)

Has a Masters from ASTROFEIN where they studied low earth orbit satellites. Also founded and organises NewSpaceVision - a platform to learn and exchange about the developments in the NewSpace Economy.

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