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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
RoofStacks | ฤฐstanbul | $105k - $120k | |||
RoofStacks | ฤฐstanbul | $105k - $115k | |||
AnChain.AI | Austin, TX, United States | $82k - $120k | |||
Coinbase | Remote | $86k - $150k | |||
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Limit Break | Tokyo, Japan | $90k - $118k | |||
Ngc | United States | $100k - $150k | |||
Fabric of Truth, Inc | Belgium | $90k - $101k | |||
Fabric of Truth, Inc | Belgium | $90k - $101k | |||
Fabric of Truth, Inc | Belgium | $87k - $112k | |||
Fabric of Truth, Inc | Belgium |
| |||
Fabric of Truth, Inc | Austin, TX, United States | $122k - $165k | |||
OpenTag | Sofia, Bulgaria | $98k - $100k | |||
Presto | South Korea | $94k - $115k | |||
Crypto.com | Shanghai, China | $112k - $156k | |||
Presto | South Korea | $109k - $180k |
RoofStacks
Lead AI/ML Engineer
ฤฐstanbul
Platform โ AI & Data /
Full Time /
On-site
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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.ย
We focus on creating a difference with the technologies we develop and designing the future. In addition to our central office in Ataลehir/ฤฐstanbul, we have branches in Antalya and Elazฤฑฤ in Turkey.ย
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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