Apply for ML Engineers

1. Description [+]
   Responsibilities: • Create scalable and efficient solutions based on existing Machine Learning and Deep Learning frameworks • Design and implement new algorithms, models, and techniques as needed • Train, deploy, and monitor robust and scalable models for real-time/production systems • Develop end-to-end data processing pipelines, including functions such as data collection, augmentation, periodic tuning • Debug and introduce performance improvements for currently deployed models • Generate documentation for both technical and non-technical audiences • Specialize in solutions centered on Computer Vision, NLP (text/audio), or traditional ML solutions. • Commonly used frameworks: TensorFlow, PyTorch, scikit-learn, statsmodels, scipy, nltk, OpenCV, spaCy. Requirements: • Bachelor's degree in Computer Science or Software Engineering. • Minimum 5-6 years of practical experience. • Good documentation and presentation skills.
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