Airbus Americas, Inc.
HR Digital
HRAI/MLEngineerII
“HR AI/ML Engineer II at Airbus Americas, Inc.. Skills: AI agents, machine learning models, data pipelines, data architecture, Python, TensorFlow, PyTorch, Scikit-learn, Spark, Airflow, Databricks. 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.. Conduct exploratory data analysis to identify trends, patterns, and insights that can inform the development o”
What You'll Achieve.
deliver measurable business value
Industry & Context.
solve complex HR challenges
Ability to travel up to 10% Domestic., Candidates should be comfortable working for extended periods of time using computers and be able to travel independently., Eligible for employment in the US without current or future need for visa sponsorship
What They're Looking For.
Must Have
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)., 3+ years of experience in an AI/ML or data engineering role, with a 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., 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., understanding of data privacy and security best practices, particularly within the context of HR data., Attention to details with communication, presentation, and time management skills.
Nice to Have
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.
What You'll Do.
and deploy AI agents and machine learning models to solve complex HR challenges
such as employee sentiment analysis
talent acquisition optimization
and workforce planning.
Conduct exploratory data analysis to identify trends
and insights that can inform the development of AI models.
and fine-tune deployed AI models to ensure optimal performance and accuracy.
Stay up-to-date with the latest advancements in AI
and data engineering to continuously improve our capabilities.
and maintain robust data pipelines to ingest
and store HR data from various sources (e.g.
Optimize data architecture and databases to improve performance and scalability.
Adhere to data governance and security best practices to protect sensitive HR information.
How You'll Work.
Team & Collaboration
Partner with HR stakeholders and data analysts to identify business needs and translate them into technical requirements for AI solutions.; Collaborate with IT and other data professionals to ensure the seamless integration of data solutions and to maintain a scalable data infrastructure.
Communication Scope
Effectively communicate complex technical concepts to a non-technical audience.; presentation skills
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