Azercosmos
Machine Learning Engineering
Son tarix 26 may 2023 - [email protected]
As a Machine Learning Engineer (Computer Vision), you will be working on highly impactful Deep Learning projects. At Azercosmos, you will get a unique opportunity to participate in the entire development cycle of large-scale Deep Learning projects from data collection to product deployment.
Responsibilities:
- Development of state-of-the-art Computer Vision models
- Conduct research and transfer insights into practical solutions
- Development and deployment of scalable data processing pipelines
- Writing clean, maintainable, and production-grade code
- Deploying machine learning models using cloud-based solutions
- Analyzing impact and effectiveness of models in production systems
- Improving the performance of existing models and frameworks
- Inspection, labeling, and cleaning of datasets
Requirements:
- Strong programming experience in Python
- Object-Oriented Design Patterns and Principles
- Strong theoretical and practical background in the application of Deep Learning methodologies on Image Segmentation, Object Detection and Generative Modeling tasks
- Solid coding experience in Deep Learning frameworks (e.g., TensorFlow, PyTorch)
- Strong mathematical aptitude to understand and apply advanced concepts in the scientific literature
Preferred Qualifications:
- Excellent command of the English language (reading/writing)
- Computer Science and Engineering background
- Former work experience in Satellite Imagery
- Experience with cloud-based solutions such as Amazon AWS, Google Cloud
- Prior experience with workflow management tools (e.g., Airflow)
Benefits:
- Working on high-impact large-scale computer vision projects
- Access to High-Performance GPU servers
- Being a contributor to scholarly publications
- Supportive and inclusive environment where collaboration is encouraged and learning is shared freely
- Competitive salary
Apply:
To apply for this opportunity, please send your CV, quoting the reference “Machine Learning Engineering” in the subject line. Only successful applicants will be contacted.
Deadline: 25.05.2023
