Related skills
docker python kubernetes tensorflow pytorch📋 Description
- Lead development and deployment of advanced AI/ML models to support workflows
- Collaborate with cross-functional teams to integrate AI with other systems
- Ensure scalability, efficiency, and robustness of AI solutions
- Oversee maintenance and improvement of AI features, adopting new tech
- Conduct code and design reviews to uphold 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
- Advanced Python and AI libraries (TensorFlow, PyTorch, Scikit-learn)
- Strong understanding of algorithms, data structures, and software engineering
- Experience deploying AI models in production
- Proven ability to collaborate with cross-functional teams and manage timelines
🎁 Benefits
- 100% Remote Work
- Highly Competitive USD Pay
- Paid Time Off
- Work with Autonomy
- Projects with top U.S. companies
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!