Your Career @ Yonder

Machine Learning Engineer, Civil Protection Field, Cluj-Napoca

Project description 

The collaboration with our client from the Nordics has been a resounding success, based on mutual respect and inclusion. Our technical teams work closely with the client teams to achieve an impactful mission in the environment and health area. 

Requirements 

  • Ability to identify and prioritize high-impact problems and conceptualize solutions in a systematic manner 
  • Good analytical, conceptual, and problem-solving skills 
  • Bachelors/Masters in Computer Science, Software Engineering, Artificial Intelligence, or similar 
  • 3+ years of experience with Software / Data Engineering projects 
  • Experience writing modular & well-designed code ideally in Python, but node or any other back end / data-oriented language is also acceptable 
  • Proven experience in building, monitoring, and maintaining data-oriented software systems 
  • Passionate about Artificial Intelligence, Natural Language Processing, Knowledge Extraction, and/or MLOps, but not necessarily having working experience with them. 
  • Previous experience as an ML Engineer is a plus. 
  • Engineering skills and fluency in data manipulation (SQL, Pandas) and machine learning (sci-kit-learn, PyTorch, or Keras/Tensorflow) tools are a plus  
  • Experience in feature extraction, feature selection techniques, and transfer learning is also a plus, but not mandatory. 

Technology Stack 

  • Python with its data-oriented library ecosystem: JSON, Pandas, Pandera, etc. 
  • AWS S3 & ElasticSearch for data storage/indexing and retrieval 
  • AWS SageMaker for ML infrastructure provisioning 
  • AWS CDK for maintaining Infrastructure as Code 
  • CI/CD with GitHub Actions and AWS CDK 
  • OpenAPI for API definitions 
  • PyTest for test automation. 

Process 

  • Agile (Kanban) – team-driven 
  • Daily interaction with international customers from two European time-zones 
  • Close collaboration with product management. 

The Team 

  • A cross-regional and cross-functional self-organizing Machine Learning Team with members from Yonder (Romania) and the client (Norway & Ireland) 
  • Dedicated product management 
  • Our motto is: We build it; we own it! We are not afraid of the unknown and we always have a can-do attitude. We strive to be better persons, colleagues, and professionals. 

If you join us, you will… 

  • help solve critical and high-impact problems with the power of Machine Learning 
  • be in growth and continuous learning environment where you will work with and learn from industry experts 
  • design, implement, and deploy end-to-end machine learning-based solutions, from requirements to production 
  • be exposed and contribute to the entire lifecycle of Machine Learning projects  
  • develop, maintain and improve data and MLOps pipelines that help the Machine Learning Team to acquire data, automate workflows & experiments and iterate fast 
  • define, maintain and monitor infrastructure using Infrastructure as Code (IaC), having full ownership of it. 

Apply now! 

*Please note that by applying to this role you give your consent to have your personal data processed by Yonder for this role and for future ones. 

You can find more details about our policy here. 



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