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Machine learning Compute Infrastructure ---Infosys ---San Francisco, CA ---Hybrid Onsite at San Francisco, California, USA
Email: [email protected]
From:

Azhar,

Softcom Systems Inc

[email protected]

Reply to:   [email protected]

Hello
Professionals,

This Azhar Mohammad from Softcom Systems INC.

I have a below Job Opportunity if you have any Consultants Please let me know!!

Job Title: Machine learning Compute Infrastructure

Location: San Francisco, CA (Hybrid Onsite)

Responsibilities:

             Support ML efficiency metrics analysis and improvements on ML compute platforms

             Analyze user workload metrics to identify sources of inefficiencies and reach out to users to understand workloads and help optimize

             Document best practices and report back user outreach results

             Excellent time management and organizational skills and experience establishing guidelines in these areas for others.

             Experience working in a high-level collaborative environment and promoting a teamwork mentality

             Outstanding communication and presentation skills, written and verbal, to all levels of an organization.

Top 2-3 skills you will be looking for when you review resumes

1.            Performance analysis and optimization experience in Cloud accelerators

2.            ML frameworks experience (pyTorch, JAX)

3.            Data analysis using SQL

Some of the additional skills that would be helpful:

             Expertise in wrangling large scale data sets using SQL

             Proficient in data visualization tools (e.g., Tableau, Superset)

             Experience building ETL pipelines

             Familiarity with Python and Spark

Anything that would automatically disqualify a candidate

1.            Poor coding ability

2.            Poor organization, communication, focus

Thanks & Regards:-

Azhar Mohammad

Softcom Systems Inc.

Email:  [email protected]

Keywords: machine learning California
Machine learning Compute Infrastructure ---Infosys ---San Francisco, CA ---Hybrid Onsite
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Thu May 23 07:18:00 UTC 2024

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