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ML Engineer
Sanjose, CA - Remote is fine.
Max Rate: $60/Hr on C2C
Client: Layer/PayPal
Responsibilities:
A master s or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field.
Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies. Backend Server & SDK development - programming languages (GO/GRPC, Java, Python)
Google Cloud Platform Vertex AI Components and SDK Experience
Experience with React UI is needed.
Mandatory Skills: (Go or Python or GRPC or Java), Google Cloud Platform Vertex AI, React, SDK
Full Time
$134k-171k (estimate)
05/16/2024
05/16/2024
The job skills required for ML Engineer include Python, Computer Science, Data Science, Software Engineering, Java, etc. Having related job skills and expertise will give you an advantage when applying to be a ML Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by ML Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for ML Engineer positions, which can be used as a reference in future career path planning. As a ML Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary ML Engineer. You can explore the career advancement for a ML Engineer below and select your interested title to get hiring information.