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    Machine Learning Engineer - Cupertino, United States - Harvey Nash

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    Description

    Harvey Nash has been engaged to find a talented Machine Learning Engineer in Cupertino, CA or Seattle, WA for our Enterprise Client.

    To be eligible, consultants must be local to either Cupertino, CA or Seattle, WA, able to work directly for Harvey Nash on a W2 basis and not be Visa dependent (No C2C/C2H).

    Duration: 4 months

    • The ideal candidate must have at least 5+ years of experience with machine learning algorithms and cloud computing infrastructure.
    • Performance analysis and optimization experience in Cloud accelerators.
    • ML frameworks experience (pyTorch, JAX).
    • Data analysis using SQL.
    • Support ML efficiency metrics analysis and improvements on ML compute platforms.
    • Analyze user workload metrics to identify sources of inefficiencies, reach out to users to understand workloads, and help optimize.
    • The role involves both Data analysis and SW instrumentation of ML frameworks.
    • 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.

    For more details regarding this exciting opportunity and company, please contact Ujwal (UJ) at

    Thank you for your interest



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