16 (Remote) ML Engineer Jobs in San Jose, CA
S M Software Solutions Inc is Hiring a Remote (Remote) ML Engineer
Duration: 6 months contract to hireResponsibilities:
- Utilize your Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field to contribute to cutting-edge machine learning projects.
- Implement software engineering best practices, encompassing version control systems such as Git, conducting code reviews, and employing robust testing methodologies.
- Drive backend server and SDK development, leveraging your expertise in programming languages like Go, GRPC, Java, and Python.
- Utilize your proficiency in GCP Vertex AI components and SDK to develop scalable and efficient machine-learning models and applications.
- Collaborate with cross-functional teams to integrate machine learning functionalities into React UI, ensuring seamless user experiences.
- Proficiency in at least one of the following: Go, Python, GRPC, or Java.
- Extensive experience with GCP Vertex AI, including its components and SDK.
- Strong proficiency in React for UI development.
- Prior experience working with SDKs.
- Familiarity with additional programming languages and frameworks.
- Experience with other cloud platforms and their machine-learning services.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication skills and the ability to collaborate effectively with team members.
Job Summary
Contractor
$131k-162k (estimate)
05/16/2024
08/12/2024
The job skills required for (Remote) ML Engineer include Machine Learning, Python, Computer Science, Data Science, Futures, Software Engineering, etc. Having related job skills and expertise will give you an advantage when applying to be a (Remote) 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 (Remote) ML Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for (Remote) ML Engineer positions, which can be used as a reference in future career path planning. As a (Remote) 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 (Remote) ML Engineer. You can explore the career advancement for a (Remote) ML Engineer below and select your interested title to get hiring information.
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