
Machine Learning Architect
1 week ago
Job Summary:
A skilled developer is needed to design and develop robust deep learning models for use in genomics, image processing, time-series analysis, and genomics-adjacent applications.
Key Responsibilities:- Design and develop deep learning models for various applications
- Collaborate with multi-functional teams to integrate AI/ML solutions into products and services
- Optimize model performance for real-world scenarios
Requirements:
- Bachelor's degree in Computer Sciences, Mathematics, Statistics, or a related field; Master's degree preferred
- 3+ years of experience in developing and deploying machine learning models
- Proficient in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Familiarity with data preprocessing and feature engineering techniques
- Experience with basic ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
- Familiarity with version control systems like Git
Benefits:
- Opportunity to work with deep learning models and optimize algorithm performance
- Drive innovation with AI-powered solutions
- Presentation of technical findings and progress updates to team members and partners
Other Opportunities:
Present technical findings and progress updates to team members and partners. Optimize model performance considering factors like data variability, noise, and computational efficiency.
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