Title: Data Engineer (Machine Learning)

Location: Austin, TX (Hybrid)

Duration: 6+ months

Implementation Partner: Infosys

End Client: To be disclosed

Jd

Minimum Years of Experience: 7+ Years

Summary

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.
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.
Work with team members to evaluate and improve existing ML system and models.

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
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, ProtocolBuffers, or XML
Experience with Unix-based command line interface and Bash scripts

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