More jobs:
Job Description & How to Apply Below
Join Thomson Reuters as a Lead AI Inference Engineer in a flexible hybrid setting. Enhance AI workloads and contribute to high-performance deployments across cloud environments.
This senior role involves optimizing and scaling inference models for various applications. You will work closely with cross-functional teams to ensure efficiency and reliability in our AI-driven products. Your expertise will directly impact the integration of cutting-edge models into our systems while upholding strict enterprise standards.
Key Responsibilities:
• Optimize AI models for efficient inference
• Ensure reliability of workloads across multi-cloud platforms
• Deploy and scale inference operations on GPUs
• Collaborate on model integration into APIs
• Implement monitoring strategies for performance bottlenecks
Requirements:
• 5+ years of relevant AI or machine learning experience
• Strong grasp of ML optimization techniques
• Experience with Kubernetes and cloud deployments
• Proficiency with Python and C++ programming
• Familiarity with microservices and distributed systems
Contribute to transformative AI solutions at Thomson Reuters while advancing your career in a collaborative environment.
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×