Related skills
docker python kubernetes tensorflow pytorch📋 Description
- Lead development and deployment of advanced AI/ML models.
- Collaborate with cross-functional teams to integrate AI with other components.
- Ensure scalability, efficiency, and robustness of AI solutions.
- Maintain and improve existing AI features; adapt to new tech.
- Conduct code and design reviews to uphold high-quality standards.
- Mentor and guide junior AI engineers, fostering growth.
🎯 Requirements
- Extensive experience with version control tools, preferably Git
- Proficiency in Docker and container orchestration
- Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Strong understanding of algorithms, data structures, and software engineering
- Experience in deploying AI models in a production environment
- Demonstrated experience in guiding and mentoring technical teams
🎁 Benefits
- 100% Remote Work: work from anywhere with robust internet
- Highly competitive USD pay
- Paid time off to unwind and recharge
- Autonomy to manage time and deliver results
- Work with top U.S. companies on high-impact projects
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