Machine Learning Engineer

5 days ago


Austin, Texas, United States ApTask Full time
About ApTask:

We are a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work.

As an African American-owned and Veteran-certified company, we offer a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management.

Our focus on excellence, collaboration, and innovation provides unparalleled opportunities for professional growth and development.

As a member of our team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries.

We prioritize safeguarding your privacy and adhere to confidentiality standards and comply with all relevant data protection laws.

Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

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

Candidate must have strong NLP experience.

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

Automate, deploy, and maintain 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 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, Protocol Buffers, or XML
  • Experience with Unix-based command line interface and Bash scripts


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