[Remote] HR AI/ML Engineer II

Note: The job is a remote job and is open to candidates in USA. Airbus Americas, Inc. is looking for an HR AI/ML Engineer to join their HR Digital team. In this role, you will develop and deploy innovative AI solutions to optimize HR processes and ensure data reliability, while collaborating with HR stakeholders and data analysts.ResponsibilitiesDesign, develop, and deploy AI agents and machine learning models to solve complex HR challenges, such as employee sentiment analysis, talent acquisition optimization, and workforce planningPartner with HR stakeholders and data analysts to identify business needs and translate them into technical requirements for AI solutionsConduct exploratory data analysis to identify trends, patterns, and insights that can inform the development of AI modelsMonitor, evaluate, and fine-tune deployed AI models to ensure optimal performance and accuracyStay up-to-date with the latest advancements in AI, machine learning, and data engineering to continuously improve our capabilitiesDesign, 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 scalabilityCollaborate with IT and other data professionals to ensure the seamless integration of data solutions and to maintain a scalable data infrastructureAdhere to data governance and security best practices to protect sensitive HR informationSkillsBachelor'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 education6 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 experienceExperience 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 strong portfolio of deployed AI/ML modelsAbility to independently design and implement end-to-end AI/ML solutions and AI agents that deliver measurable business valueStrong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, and Scikit-learnDemonstrated experience with data engineering tools and technologies (e.g., Spark, Airflow, Databricks)Capability to effectively communicate complex technical concepts to a non-technical audienceExperience with ETL processes and tools (PySpark, Scala, Git)Knowledge of data governance principles and their application in an enterprise environmentStrong understanding of data privacy and security best practices, particularly within the context of HR dataAttention to details with strong communication, presentation, and time management skillsAbility to travel up to 10% DomesticAI 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 plusBenefitsCompetitive 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”)Paid time off including personal time, holidays and a generous paid parental leave program.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.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.Medical insuranceDental insuranceVision insurancePrescription insuranceEmployee Assistance ProgramFlexible Spending AccountsHealth Savings AccountsBasic & Voluntary Life and Accidental Death & Dismemberment insuranceShort and Long-term Disability insurance401(k)Paid time off including paid holidaysTuition AssistanceBonus(es) subject to performance criteriaCompany OverviewAirbus designs, manufactures, and delivers aerospace products, services, and solutions. It was founded in 2014, and is headquartered in Herndon, Virginia, USA, with a workforce of 10001+ employees. Its website is https://us.airbus.com.