Key skills
AirflowAWSBigQueryCloudETLGoogle Cloud PlatformPySparkPythonPyTorchScalaScikit-LearnSparkTensorflowAIMachine LearningMLTensorFlowscikit-learnData EngineeringDatabricksGCPGoogle CloudS3Vertex AIGitCommunicationTime Management
About this role
Role Overview
- 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 years 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 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).
- 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.
Tech Stack
- Airflow
- AWS
- BigQuery
- Cloud
- ETL
- Google Cloud Platform
- PySpark
- Python
- PyTorch
- Scala
- Scikit-Learn
- Spark
- Tensorflow
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