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Machine Learning Engineer
Skills
Computer VisionData ScienceDeep LearningGoogle Cloud PlatformIn-Depth AnalysisNumpyPandas
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Engineering Mathematics or related field
- Three years of experience in the ML lifecycle with focus on data science and computer vision
- Two years of experience with a cloud provider like AWS GCP or Azure
- Experience with semantic segmentation in real business use cases
- Competence in statistical data analysis and machine learning techniques
- Proficiency with analytical tools such as Jupyter Pandas NumPy Matplotlib
- Strong understanding of the machine learning lifecycle
- Ability to thrive in a collaborative environment and communicate confidently with team
Nice to have
- Experience with MLOps platforms
- Familiarity with labeling platforms
- Strong programming in Python or C++
- Hands-on deep learning application development
Day to day
- Design, build, and optimize computer vision applications
- Validate results ensuring data integrity
- Collaborate with data annotation team for high-quality datasets
- Experiment with state-of-the-art ML infrastructure and models
- Shape product roadmaps and engineering culture as an early employee
Hiring process
- Fill out application form
- Initial pre-recorded interview
- Technical assessment