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AI/Machine Learning Engineer_ Hybrid in Austin, TX_ NO H1B AND CPT at Austin, Texas, USA
Email: [email protected]
AI/Machine Learning Engineer

Hybrid in Austin, TX 

1+ Year

NO H1B AND CPT

We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML.

Description:

Automate end-to-end ETL/ML pipelines with structural understanding of data products.

Automate, deploy and maintain ML pipelines into existing cloud resources.

Work with team members to assist with data-related technical issues and support their data product needs, and maintain high-standard documentations

Required Skills

A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience

Strong Python/Java  programming skills

Experience in implementing data pipelines using python, familiar with Pandas and Numpy

Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie

Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies

Experience with query APIs using JSON, Protocol Buffers, or XML

Experience with Unix-based command line interface and Bash scripts

Experience with REST API development in Python Education

Bachelors in computer science or engineering; Masters preferred

Optional Skills:

 - Experience with computer vision or natural language processing a plus.

 - Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus

 - Data visualization or web development skills a plus

Education:

Bachelors in computer science or engineering; Masters prefe

Thanks & Regards,

Sanju Singh

Senior Technical
Recruiter

Email Id
:-

[email protected]

Cell No:-

513-676-1490

WhatsApp: 6
398951474

Hampton Technology Inc.

6117 Kensington trail, Middletown, Ohio 45044

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Keywords: artificial intelligence machine learning information technology Idaho Texas
[email protected]
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Mon Dec 04 23:58:00 UTC 2023

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