AI-Driven HR ML Engineer II — Transform People Ops

Airbus Aircraft

Herndon (VA)

On-site

USD 135,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
401(k)
Paid time off

Job summary

Airbus Americas, Inc. in Herndon, Virginia, is seeking an HR AI/ML Engineer to join the HR Digital team.

You will design and deploy AI agents to optimize HR processes, train models, and support data engineering initiatives across North America, with up to 10% travel.

Applicants should have 6 years of HR AI/ML or data engineering experience and a degree in CS/IT/Engineering; expertise in Python, TensorFlow, PyTorch, and cloud platforms (GCP/AWS) is preferred.

Qualifications

  • Bachelor’s or Master’s degree in CS/IT/Engineering or related field.
  • 6 years of professional HR AI/ML or data engineering experience.
  • Experience with cloud AI/ML services (GCP or AWS) and data engineering.

Responsibilities

  • Design, build, and deploy AI agents and ML models for HR challenges.
  • Partner with HR stakeholders to translate needs into AI solutions.
  • Conduct exploratory data analysis to uncover insights.
  • Monitor and optimize deployed AI models for accuracy.
  • Build robust data pipelines ingesting HR data from APIs and databases.

Skills

Python
TensorFlow
PyTorch
Scikit-learn
Spark
Airflow
Databricks
Data governance

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field

Tools

Google Cloud Platform (GCP)
AWS
Vertex AI
AutoML
S3
BigQuery
Data Factory
Spark
Databricks

Job description

Airbus Americas, Inc. in Herndon, Virginia, is seeking an HR AI/ML Engineer to join the HR Digital team.

You will design and deploy AI agents to optimize HR processes, train models, and support data engineering initiatives across North America, with up to 10% travel.

Applicants should have 6 years of HR AI/ML or data engineering experience and a degree in CS/IT/Engineering; expertise in Python, TensorFlow, PyTorch, and cloud platforms (GCP/AWS) is preferred.

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