AI Engineer

Paychex; Phoenix (AZ); On-site; USD 95,000 - 150,000; Full time

Job summary

Paychex is seeking an AI Engineer to design and deploy ML/DL models supporting internal services and client applications in a financial tech context. The role focuses on developing AI capabilities to improve HR and payroll processes while collaborating with data scientists and software teams.

Responsibilities include training models, deploying to production, and monitoring performance, with an emphasis on leveraging cloud platforms and modern AI tooling to drive innovation within the

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Engineering, or related field.
• 1 year of experience in developing and deploying ML/DL models.
• 5 years of experience in developing software solutions.
• 2 years of experience in cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
• 1 year of experience in LLM tuning and tools like LangChain.

Responsibilities

• Design, develop, and implement machine learning and deep learning models to address various challenges and build out AI functionality for our clients.
• Train, validate, and fine-tune AI models using state-of-the-art techniques and libraries, and assess their performance using appropriate metrics.
• Deploy AI models into production environments, collaborate with DevOps and IT teams to ensure seamless integration, and monitor model performance in real-time.
• Stay up-to-date with the latest advancements in AI and financial technology, and apply innovative solutions to solve complex HR and Payroll problems.
• Lead creation of data analytics capability for identifying key performance drivers and action plans to continuously improve performance and competitiveness.
• Collaborate with cross-functional teams, including data scientists, software developers, and business analysts, to drive AI initiatives and projects.
• Maintain comprehensive documentation of AI models, data pipelines, and processes.

Skills

ML/DL model development

Software development experience

LLM tuning (LangChain)

Education

Bachelor's Degree in Computer Science, Data Science, Engineering

Tools

AWS

Azure

Google Cloud

Docker

Kubernetes

LangChain

Job description

Overview

The AI Engineer will play a crucial role in developing and implementing artificial intelligence solutions that enhance our internal corporate services, client facing applications, and improve our customer experiences.

Responsibilities

• Design, develop, and implement machine learning and deep learning models to address various challenges and build out AI functionality for our clients.
• Train, validate, and fine-tune AI models using state-of-the-art techniques and libraries, and assess their performance using appropriate metrics.
• Deploy AI models into production environments, collaborate with DevOps and IT teams to ensure seamless integration, and monitor model performance in real-time.
• Stay up-to-date with the latest advancements in AI and financial technology, and apply innovative solutions to solve complex HR and Payroll problems.
• Lead creation of data analytics capability for identifying key performance drivers and action plans to continuously improve performance and competitiveness.
• Collaborate with cross-functional teams, including data scientists, software developers, and business analysts, to drive AI initiatives and projects.
• Maintain comprehensive documentation of AI models, data pipelines, and processes.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field - Required
• 1 year of experience in developing and deploying machine learning and deep learning models, preferably in a financial or fintech setting.
• 5 years of experience in Developing Software Solutions.
• 2 years of experience in cloud platforms (e.g. AWS, Azure, Google Cloud) and containerization technologies (e.g. Docker, Kubernetes) is advantageous.
• 2 years of experience in data preprocessing, feature engineering, and model evaluation techniques.
• 1 year of experience in LLM tuning and tools like LangChain.

Compensation

In the spirit of pay transparency, we are excited to share that the starting base pay range for this position is $95,000 - $150,000 annually. Please keep in mind that this range is the base pay only and does not consider other components that make up the total rewards package for the position. If you are hired at Paychex, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range.