AI Engineer

$95,000 - $150,000/Yr

Paychex - Rochester, NY

Full-time - Mid Level

Rochester, NY

10,001+ employees

Professional, Scientific, and Technical Services

About the position

The AI Engineer will be responsible for developing and implementing artificial intelligence solutions that enhance corporate services and client-facing applications, ultimately improving customer experiences. This role involves designing machine learning models, deploying them into production, and collaborating with various teams to drive AI initiatives.

Responsibilities

• Design, develop, and implement machine learning and deep learning models to address various challenges and build out AI functionality for 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 the 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.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field.
• 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).
• 2 years of experience in data preprocessing, feature engineering, and model evaluation techniques.
• 1 year of experience in LLM tuning and tools like LangChain.

Benefits

• Competitive salary based on experience and skills.
• Opportunities for professional development and growth.
• Hybrid work environment.