HR AI/ML Engineer II

About the role

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 transformation. In 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.

Responsibilities

• 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.

Requirements

• Bachelor’s or Master's degree in Computer Science, Information Technology, Engineering, or other quant-focused fields or equivalent combination of industry related professional experience and education.
• 6 years of professional experience in an HR AI/ML or data engineering role with a bachelor's degree or Master's degree and 3 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: 3+ 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.

Qualifications

• Physical Requirements: Onsite: 100%. Vision: Daily able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings. Hearing: Daily able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms. Speaking: Daily able to speak in conversations and meetings, deliver information and participate in communications. Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): Daily able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts. Carrying: Several times a week able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs. Lifting: Several times a week able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs. Pushing / Pulling: Several times a week able to push and pull small office furniture and some equipment and tools. Sitting: Daily able to sit for long periods of time in meetings, working on computer. Squatting / Kneeling: Several times a month able to squat or kneel to retrieve or replace items stored on low shelving. Standing: Daily able to stand for discussions in offices or on production floor. Walking (include routine walking such as to a shared printer to retrieve documents): Daily able to walk through office and production areas including uneven surfaces. Appropriate hearing/eye protection may also be required when visiting the shop floor.

Benefits

• Medical insurance, Dental insurance, Vision insurance, Prescription insurance, Employee Assistance Program, Flexible Spending Accounts, Health Savings Accounts, Basic & Voluntary Life and Accidental Death & Dismemberment insurance, Short and Long-term Disability insurance, 401(k), Paid time off including paid holidays, Tuition Assistance, Bonus(es) subject to performance criteria.