Cloud Vision Expert
The Machine Learning Engineer role involves developing and deploying cloud-based systems that operate reliably at scale.
* Engineering real-time and batch vision solutions from training deep learning models to serving them through scalable cloud APIs.
* Transforming AI models into production-ready services for on-premises and cloud environments, ensuring performance, security, and cost efficiency.
The ideal candidate will have strong skills in Python and deep learning frameworks, hands-on experience with cloud platforms, and experience building and deploying ML models using Docker, Kubernetes, or serverless services.
We're looking for someone with a solid understanding of computer vision algorithms and real-world performance challenges, familiarity with traditional machine learning methods, and exposure to Generative AI techniques and concepts.
Key responsibilities include:
* Designing and implementing real-time and batch vision solutions for scalability and reliability.
* Developing and deploying cloud-based systems for large-scale data processing.
Benefits include:
* A challenging and dynamic work environment.
* Opportunities for professional growth and development.