Software Developer/Computer Scientist Specialised in AI and Machine Learning
Mpia - Max Planck Institute For Astronomy
Heidelberg, Germany
4 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Artificial Intelligence
Data Analysis
Application Integration Architecture
Computer Programming
Python (Programming Language)
Machine Learning
NoSQL
Software Architecture
SQL Databases
Systems Integration
Metis
Deep Learning
+5 more
Git
Scikit Learn
Information Technology
Data Management
Data Pipelines
Job description
We are looking for a member of the software development team within the technical departments on a fixed-term contract for 4 years Software Developer/Computer Scientist (m/f/d) specialised in AI & Machine Learning, Ref. 421 to support the further development and commissioning of the Real-Time Control (RTC) system for the METIS Adaptive Optics (AO) system on ESO’s Extremely Large Telescope (ELT)., * Model development: Design, training and validation of machine learning (ML) and deep learning models;
- Pipeline architecture: Building scalable data pipelines and preparing data for model training;
- AI integration: Integrating ML models into existing software architectures;
- Evaluation & optimisation: Analysing the performance of models in the METIS AO system and their further development;
- Tech scouting: Evaluating current research findings and new open-source frameworks for adaptation within the METIS RTC system;
- Test support: SCAO tests in the MPIA laboratory and at the METIS system level in the Netherlands;
- Commissioning support: at the ELT in Chile.
Requirements
- A completed degree in Computer Science, Data Science, Mathematics or a comparable qualification;
- In-depth knowledge of machine learning, statistics and mathematical modelling would be very helpful;
- Very good programming skills in Python and confidence in using ML libraries are desirable;
- Experience with SQL/NoSQL databases and, ideally, with big data tools, as well as confidence in using Git and CI/CD pipelines;
- Good command of English for working in an international team;
- Willingness to undertake assignments abroad (Europe & Chile).
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