Machine Learning Engineer

Machine Learning Engineer

South Pole

Amsterdam, Netherlands

Job summary:

As part of the Digital Innovation team, you will drive ongoing development, improvement and integration of artificial intelligence (AI) into our digital Monitoring, Reporting and Verification (MRV) systems and forecasting processes and other software services. With strict requirements for the accuracy and scalability of our models, you will design AI pipelines that support effective integration and deployment of the latest remote sensing technologies and models to scale digital MRV for our global nature-based solution (NBS) projects.

Examples of our current work in this field include estimating the reduction of CH4 emissions for rice cultivation and monitoring the impacts of reducing deforestation and forest degradation on carbon stocks.

Main tasks & responsibilities:

  • Develop new algorithms and implement scalable Python modules for efficient reading and writing of large amounts of geo, climate and satellite data as well as their analysis in Python;
  • Set the standard for properly bringing our data pipelines and models to production;
  • Support the development of our digital innovations from proof-of-concepts to scalable software;
  • Contribute to the development of team members and colleagues in the latest technologies and applications of AI in Sustainability.

Requirements:

Essential

  • Good knowledge of scaling-up machine learning and AI technologies using large amounts of earth observation data, with a focus on Python and its data science libraries (xarray, dask, geopandas, pyspark and many more);
  • 2+ years work experience in capturing value from state-of-the-art machine learning and AI technologies in a business context;
  • 2+ years work experience with MLOps, productionalizing machine learning models in a cloud environment;
  • Thirst for knowledge and the will to find elegant solutions for complex questions;
  • Very good spoken and written English skills;
  • Completed degree in computer science, mathematics, physics, engineering, environmental sciences or similar.

Desirable

  • Outstanding communication and collaboration skills to partner effectively with key internal stakeholders from our different practices and business lines;
  • Experience in or passion for environmental issues and understanding of sustainability, CSR and related topics;
  • Business acumen leading to effectively translating business opportunities into tangible models and suggesting useable predictions and insights improving our business and that of our customers;
  • Good presentation skills with the ability to present highly technical topics with a non-technical audience

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© EuroJobsites 2022

EuroJobsites is a registered company number: 4694396 VAT number: GB 880 9055 04

Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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