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Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

at Qualcomm

Back to all Data Science / AI / ML jobs
Qualcomm logo
Industry not specified

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

at Qualcomm

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Riyadh
Country
Saudi Arabia

**Staff Machine Learning Engineer (Datacentre AI Engineering) needed in Riyadh, KSA.** Leverage your expert knowledge in machine learning to design, develop, and deploy AI solutions for datacentre infrastructure. Key responsibilities include developing machine learning models, implementing continuous integration/continuous delivery (CI/CD) pipelines, and collaborating with cross-functional teams to integrate AI into datacentre operations. Proficiency in Python, TensorFlow, and Kubernetes is required, along with a strong background in cloud platforms like AWS or Google Cloud. Bring your proven experience (7+ years) in machine learning and AI to lead this role and mentor junior team members.

No additional description provided.

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

at Qualcomm

Back to all Data Science / AI / ML jobs
Qualcomm logo
Industry not specified

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

at Qualcomm

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Riyadh
Country
Saudi Arabia

**Staff Machine Learning Engineer (Datacentre AI Engineering) needed in Riyadh, KSA.** Leverage your expert knowledge in machine learning to design, develop, and deploy AI solutions for datacentre infrastructure. Key responsibilities include developing machine learning models, implementing continuous integration/continuous delivery (CI/CD) pipelines, and collaborating with cross-functional teams to integrate AI into datacentre operations. Proficiency in Python, TensorFlow, and Kubernetes is required, along with a strong background in cloud platforms like AWS or Google Cloud. Bring your proven experience (7+ years) in machine learning and AI to lead this role and mentor junior team members.

No additional description provided.

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