HR AI/ML Engineer: Build AI-Driven HR Solutions

Airbus; Herndon (VA); On-site; USD 135,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Prescription insurance

Employee Assistance Program

Flexible Spending Accounts

Health Savings Accounts

Life Insurance

Disability insurance

401(k)

Paid time off

Tuition Assistance

Bonus(es)

Job summary

Airbus Americas, Inc. is seeking an HR AI/ML Engineer to join the HR Digital team in Herndon, Virginia. You will design and deploy innovative AI solutions to optimize HR processes, build AI agents, and support data engineering initiatives ensuring clean, accessible HR data.

The role requires strong Python skills and experience with TensorFlow, PyTorch, Scikit-learn, and cloud platforms like GCP or AWS. Travel up to 10% domestic may be required.

Qualifications

• Role requires 6+ years in HR AI/ML or data engineering.

Responsibilities

• Design, build, and deploy AI agents and ML models for HR challenges.
• Collaborate with HR stakeholders to translate business needs into AI requirements.
• Perform exploratory data analysis to identify trends and inform model development.
• Monitor, evaluate, and fine-tune deployed models for performance.
• Stay updated on AI/ML and data engineering advances to improve capabilities.
• Build and maintain robust data pipelines ingesting HR data from various sources.

Skills

AI/ML engineer

Python

TensorFlow

PyTorch

Scikit-learn

Spark

Airflow

Databricks

ETL

Data governance

Data privacy

Communication

Education

Bachelor’s or Master’s degree in CS/IT/Engineering or equivalent

Tools

Vertex AI

AutoML

Google Cloud Platform (GCP)

AWS

S3

BigQuery

Data Factory

BigQuery

Spark

Airflow

Databricks

Git

PySpark

Scala

Job description

Airbus Americas, Inc. is seeking an HR AI/ML Engineer to join the HR Digital team in Herndon, Virginia. You will design and deploy innovative AI solutions to optimize HR processes, build AI agents, and support data engineering initiatives ensuring clean, accessible HR data.

The role requires strong Python skills and experience with TensorFlow, PyTorch, Scikit-learn, and cloud platforms like GCP or AWS. Travel up to 10% domestic may be required.