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Senior MLOps Engineer

vor 4 Monaten


Berlin, Deutschland LiveEO GmbH Vollzeit
Build the Market Leader in Satellite Analytics with us at LiveEO

At LiveEO, we combine Space Technology with AI to solve problems here on Earth. LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector. LiveEO’s ambitious goal is to monitor 1 billion assets across the globe with its unique SaaS solution until 2030. 

We are looking for highly skilled Senior ModelOps and MLOps Engineers with experience in bringing sophisticated ETL pipelines and machine learning systems to production to join our dynamic team. 
LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. You will be joining a team which focuses on the precise detection of deforestation globally, to make supply chains more sustainable and products deforestation-free.

Your challenge

  • 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.
Your profile

  • 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).
Your Benefits

  • The opportunity to create a product that can improve business processes and lives across the globe.
  • Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance.
  • We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold.
  • Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest.
  • Variety of team building opportunities - from jogging groups, team sports, bouldering and picnics.
  • A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons.
  • Potential to participate in the employee stock option program.
  • Office located in the center of Berlin Kreuzberg with free fruit, nuts and drinks;
  • Urban Sports membership and BVG subsidy.
About us

LiveEO is a well funded startup founded in 2018 and based in Berlin. Our primary service is modelling risk to our customers’ assets and infrastructure from vegetation, ground deformation and change detection. We currently have around 100 employees from all over the world with a variety of backgrounds