Related skills
python tensorflow pytorch mlops neural networks📋 Description
- Develop and refine features for deep learning models on large datasets
- Implement model architectures guided by recent research
- Collaborate with client teams to translate business needs into solutions
- Optimize training pipelines for efficiency and scalability
- Document approaches and decisions for knowledge sharing
- Participate in code reviews and engineering best practices
🎯 Requirements
- Strong proficiency with PyTorch or TensorFlow
- Hands-on feature engineering for predictive models
- Solid ML fundamentals: supervised learning, neural networks, optimization
- Read and implement techniques from ML research papers
- Python proficiency in data science/ML context
- Comfortable with ambiguous environments and tooling
🎁 Benefits
- Global collaboration with AI pioneers
- Open-source culture and contributions
- Growth and learning opportunities
- Flexible remote work and distributed teams
- Ownership and autonomy to pursue bold ideas
- Collaborative, research-informed environment
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