HR AI/ML Engineer II at Airbus - Saudi Arabia

Herndon, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Oct, 26

Salary

150000.0

Posted On

11 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Scikit-learn, Google Cloud Platform, AWS, Spark, Airflow, Databricks, PySpark, Scala, Git, ETL Processes, Machine Learning, Data Engineering, AI Agent Development

Industry

Defense and Space Manufacturing

Description

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 USCareers@airbus.com Notice: Know Your Rights: Workplace Discrimination is Illegal Notice: Pay Transparency Nondiscrimination (English) Aviso: Transparencia en el Pago No Discriminación (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 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. 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, it’s 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 nation’s 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 10,000+ 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: 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. Physical Requirements: 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. Travel: Rarely able to travel independently and at short notice. 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. Salary range based on the required profile: $135000 - 150000/year. Actual minimum and maximum may vary based on geographic differential and location of candidate at offer. Individual pay is based on skills, experience, and other relevant factors. This position offers the following 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. These are our current benefit offerings for the current plan year and are subject to change without notice.. 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 Company’s success, reputation and sustainable growth. Company: Airbus Americas, Inc. Employment Type: US - Direct Hire Experience Level: Professional Remote Type: On-site Job Family: Digital ------ Job Posting End Date: 08.01.2026 ------ Airbus provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. In addition to federal law requirements, Airbus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, demotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits and training. Airbus expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. As a matter of policy, Airbus does not sponsor visas for US positions unless specified. Only applicants with current work authorization will be considered. Airbus does not offer tenured or guaranteed employment. Employment with Airbus is at will, meaning either the company or the employee can terminate the employment relationship at any time, with or without cause, with or without notice. Airbus reserves the right to revise or change job duties and responsibilities as the need arises. This position description does not constitute a written or implied contract of employment. By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com. Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide. From sending your resume to participating in successful interviews, here you can access all important pieces of information to guide you in your candidate journey. 👉 Learn more

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Responsibilities

Design, develop, and deploy AI agents and machine learning models to optimize HR processes such as sentiment analysis and workforce planning. Build and maintain robust data pipelines to ensure HR data is clean, accessible, and secure.