Machine Learning Engineer - 2
Tasks
- Build data pipelines
- Build machine learning pipelines
- Build recommendation systems
- Collaborate with product and engineering teams
- Deploy AI components into production systems
- Design and develop computer vision models
- Design and develop natural language processing models
- Develop, train, and deploy machine learning models
- Maintain code quality and innovation
- Research and implement deep learning architectures
Perks/Benefits
- Equity
- Family insurance
- Flexible hours
- Free health teleconsultations
- Hybrid work
- In-office presence
- Learning and upskilling budget
- Unlimited PTO
Skills/Tech-stack
AWS | Algorithms | Computer Vision | Data Pipelines | Data Structures | Deep learning | Django | Keras | Language Processing | ML pipelines | Machine Learning | Matplotlib | Natural Language | Natural Language Processing | NumPy | OCR | PDF Processing | Pandas | PyTorch | Python | Recommendation Systems | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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