Job Description
Roof Stacks seeks a Lead AI/ML Engineer to manage ML model deployment and scaling, design MLOps infrastructure, implement microservices, and establish monitoring processes. Responsibilities include mentoring team members, optimizing model performance, and integrating software engineering best practices. The ideal candidate possesses a Bachelor's degree in a related field, 5+ years of ML/AI experience, expertise in GCP deployment, Python, TensorFlow/PyTorch, CI/CD, Docker, Kubernetes, microservices, and technical team leadership. Roof Stacks operates in various technological sectors, aiming to design innovative solutions and become a global leader. The position is based in Istanbul, Turkey.
Good To Have:
- AWS knowledge
- Experience with monitoring tools
- Academic publications or patents
Must Have:
- 5+ years ML/AI experience
- GCP deployment experience
- Python, TensorFlow/PyTorch expertise
- CI/CD, Docker, Kubernetes knowledge
- Microservices and API design experience
- Technical team management
- MLOps tools and practices knowledge
As Roof Stacks, we have been carrying out innovative projects since 2015. We aim to become a global actor in Tourism Systems, Extended Reality(AR/VR), Blockchain Technologies, Game Development, and Financial Technology, which are our areas of expertise.
We focus on creating a difference with the technologies we develop and designing the future. In addition to our central office in Ataşehir/İstanbul, we have branches in Antalya and Elazığ in Turkey.
We have strengthened our position in the global market by opening a new office in Austin, USA, which hosts world technology giants from all over the world.
Key Responsibilities
*Management of ML model deployment and scaling processes in production environments
*Design, setup, and ensure the sustainability of MLOps infrastructure
*Implementation of microservices architectures and API designs
*Establishment of monitoring and maintenance processes for ML systems
*Mentorship for the technical development of team members
*Model performance optimization and system architecture improvements
*Integration of software engineering best practices into ML projects
Required Qualifications
*Bachelor's degree in Computer Engineering, Software Engineering, or related fields
*Minimum 5 years of practical experience in ML/AI
*General knowledge and experience in different ML areas such as Computer Vision, NLP, Recommendation Systems
*Experience in developing and deploying ML systems on GCP
*Deep knowledge of Python and ML frameworks (e.g., TensorFlow, PyTorch)
*Experience with modern deployment tools such as CI/CD, Docker, Kubernetes
*Experience with microservices architectures and API design
*Experience in technical team management and mentorship
*y6Extensive knowledge of MLOps tools and practices
Advanced proficiency in English
Preferred Qualifications
*Experience with monitoring and observability tools for ML systems
*AWS knowledge is preferred
*Academic publications or patents
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