Machine Learning Engineer
2 weeks ago
Job Summary
Deimos is seeking an experienced Machine Learning Engineer to join our Computer Vision/Artificial Intelligence (CV/AI) Competence Centre. The successful candidate will work on researching, developing, deploying, and scaling our computer vision portfolio for onboard processing applications in Space.
Key Responsibilities
- Design, implement, and deploy machine learning models and algorithms for on-board processing in Space.
- Collaborate with team-members and clients across Europe to understand project requirements, objectives, and constraints.
- Process and analyse datasets to extract meaningful insights and features for model development.
- Design, implement, and maintain industry-standard MLOps infrastructure for new and existing ML products.
- Optimize and standardize ML training and validation processes, data warehousing, and pipelines.
Requirements
- Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
- Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects.
- Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
Desirable Skills
- Experience working on aerospace-related projects.
- Experience deploying MLOps solutions and working within CI/CD frameworks.
- Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.).
- Experience developing embedded ML applications (C++, CUDA, TensorRT).
Language Skills
Good level of English, spoken and written.
Personal Skills
- Capability to integrate in and work within a trans-European team.
- Solid organisational, analytical, and reporting skills.
- Autonomy and willingness to take initiative.
- Excellent communication skills.
- Energetic, positive team player mentality.
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