
Machine Learning Ops (ML Ops) Technical Fellow
We are looking for a passionate Machine Learning Ops (ML Ops) Technical Fellow to join General Motors' growing Artificial Intelligence (AI) team. Our ideal candidate has a combination of machine learning and engineering experience, and is eager to apply their expertise to drive innovation at GM. As a ML Ops Technical Fellow, you will be a key member of our AI team, collaborating closely with our engineering, product, and data science teams to ensure our AI solutions are delivered to the highest standards.The successful candidate for this role will have demonstrated experience in Machine Learning Ops and a strong technical background in engineering, software development, and data science. You should also possess strong communication skills and the ability to work collaboratively in a fast-paced environment. If you are a problem solver with a passion for AI and an enthusiasm for learning, this could be the perfect role for you.
Mathematics
Or Related Field
Computer Science
Advanced Degree In Machine Learning
Electrical Engineering
Proven Track Record Of Developing And Deploying Innovative Ml Solutions
Expertise In Deployment
Monitoring
And Optimization Of Ml Models And Systems
Ability To Interact And Collaborate With Cross-Functional Teams
Experience In Developing Ml Algorithms And Software
Proficiency In Coding Languages Such As Python
C++
Troubleshooting
Data Analysis
Database Management
DevOps
Machine Learning
Data Visualization
Automation
Cloud Computing
Algorithm design
Model training
Optimization
Data engineering
feature engineering
Monitoring
Model Deployment
Communication
Conflict Resolution
Leadership
Problem Solving
Time management
Interpersonal Skills
Organization
Creative Thinking
Teamwork
Adaptability
According to JobzMall, the average salary range for a Machine Learning Ops (ML Ops) Technical Fellow in Austin, TX, USA is between $160,000 and $210,000. This salary range is based on the current job postings for this position in the Austin area.
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