Related skills
docker python kubernetes tensorflow pytorch📋 Description
- Lead development and deployment of advanced AI/ML models to support and enhance our workflows
- Collaborate with cross-functional teams to integrate AI technologies with other system components
- Ensure the scalability, efficiency, and robustness of AI solutions
- Oversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologies
- Conduct and participate in code and design reviews to uphold high-quality standards
- Mentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment
🎯 Requirements
- Git: extensive experience with version control tools (Git preferred)
- Docker and container orchestration
- Advanced Python proficiency with TensorFlow, PyTorch, Scikit-learn
- Strong understanding of algorithms, data structures, software engineering
- Experience deploying AI models in production
- Proven ability to collaborate with cross-functional teams and manage timelines
🎁 Benefits
- 100% Remote Work: work from anywhere with laptop and internet
- Competitive USD pay: market-leading compensation in USD
- Paid Time Off: well-being and recharge
- Autonomy: manage your time and deliver results
- Work with Top American Companies: high-impact projects
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