HR AIML Engineer

Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application please contact us at

• Notice: Know Your Rights: Workplace Discrimination is Illegal
• Notice: Pay Transparency Nondiscrimination (English)
• Aviso: Transparencia en el Pago No Discriminacion(Spanish)

Job Description:

Airbus Commercial is looking for an HR AI/ML Engineer to join our HR Digital team in Herndon Virginia.

As an HR AI/ML Engineer supporting the North America region at Airbus you will be at the forefront of digital this role you will be instrumental in developing and deploying innovative AI solutions that will revolutionize how we manage and utilize HR data moving beyond traditional analytics to create intelligent automated systems. You will be responsible for building training and maintaining AI agents to optimize key HR processes as well as providing critical support for data engineering initiatives that ensure our data is clean accessible and reliable.

Meet the Team:

Working in our Human Resources department its our mission to help support Airbus greatest assets: our team members. Our team works cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.

Your Working Environment:

The Washington D.C. metro area is home to multiple Airbus offices: In our nations capital you will find the Airbus Experience Center a collection of interactive multimedia exhibitions highlighting the extensive role the company plays in the aviation aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters located adjacent to Washington Dulles International Airport (IAD) - it makes flying in a breeze!

How We Care for You:

• Financial Rewards: Competitive base salary incentive compensation which may include profit sharing schemes retirement savings plan and the ability to participate in an Employee Stock Ownership Plan (ESOP)

• Work/Life Balance: Paid time off including personal time holidays and a generous paid parental leave program.

• Health & Welfare: Comprehensive insurance coverage including medical (traditional and high-deductible health plans) prescription dental vision life disability Employee Assistance Plan (EAP) and other supplemental benefit coverages.

• Individual Development: Upskilling and development opportunities through our global Leadership University including unlimited access to 10000 e-learning courses focusing on ways to develop your employability certifications career path as well as the opportunity to participate in accelerated development programmes and both national and international mobility.

Your Challenges:

• Design develop and deploy AI agents and machine learning models to solve complex HR challenges such as employee sentiment analysis talent acquisition optimization and workforce planning.

• Partner with HR stakeholders and data analysts to identify business needs and translate them into technical requirements for AI solutions.

• Conduct exploratory data analysis to identify trends patterns and insights that can inform the development of AI models.

• Monitor evaluate and fine-tune deployed AI models to ensure optimal performance and accuracy.

• Stay up-to-date with the latest advancements in AI machine learning and data engineering to continuously improve our capabilities.

• Design build and maintain robust data pipelines to ingest transform and store HR data from various sources (e.g. APIs databases flat files).

• Optimize data architecture and databases to improve performance and scalability.

• Collaborate with IT and other data professionals to ensure the seamless integration of data solutions and to maintain a scalable data infrastructure.

• Adhere to data governance and security best practices to protect sensitive HR information.

Your Boarding Pass:

• Bachelors or Masters degree in Computer Science Information Technology Engineering or other quant-focused fields or equivalent combination of industry related professional experience and education.

• 2 years of professional experience in an HR AI/ML or data engineering role with a bachelors degree or Masters degree and 1 year of experience.

• Experience with cloud platforms like Google Cloud Platform (GCP) or AWS including services related to AI and machine learning (e.g. Vertex AI AutoML and AI Infrastructure) and data engineering (e.g. S3 Data Factory BigQuery).

Knowledge Skills Demonstrated Capabilities:

• 2 years of experience in an AI/ML or data engineering role with a strong portfolio of deployed AI/ML models.

• Ability to independently design and implement end-to-end AI/ML solutions and AI agents that deliver measurable business value.

• Strong programming skills in Python with experience in libraries like TensorFlow PyTorch and Scikit-learn.

• Demonstrated experience with data engineering tools and technologies (e.g. Spark Airflow Databricks).

• Capability to effectively communicate complex technical concepts to a non-technical audience.

• Experience with ETL processes and tools (PySpark Scala Git).

• Knowledge of data governance principles and their application in an enterprise environment.

• Strong understanding of data privacy and security best practices particularly within the context of HR data.

• Attention to details with strong communication presentation and time management skills.

• AI and Machine Learning Certification such as Google Professional Machine Learning Engineer and Data Engineering Certifications such as Google Certified Professional Data Engineer or similar certification is a plus.

• Ability to travel up to 10% Domestic.

Physical Requirements:

Candidates should be comfortable working for extended periods of time using computers and be able to travel independently.

Take your career to a new level and apply online now!

A full job description will be provided to candidates who progress to the interview stage or any candidate upon request.

Eligible for employment in the US without current or future need for visa sponsorship

This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

Company:

Employment Type:

Experience Level:

Remote Type:

Job Family: