Mayer Brown - Chicago, IL

posted 5 months ago

Full-time - Mid Level
Chicago, IL
Professional, Scientific, and Technical Services

About the position

Mayer Brown is seeking an Artificial Intelligence (AI) Innovation Engineer to join our Legal Innovation and Strategy department in Chicago. This role is pivotal in designing and implementing machine learning (ML) models that address various business challenges and develop innovative solutions. The AI Innovation Engineer will work with large, complex datasets, applying various machine learning algorithms, and deploying AI models into production environments. The position requires collaboration with cross-functional teams to enhance data quality and operational efficiency, continuously monitoring and optimizing the performance of machine learning models. The engineer will assist in the implementation of AI-powered services both in the cloud and on-premise, solving business or research problems using natural language processing (NLP), image recognition, or text recognition. This role involves reviewing relationships, insights, and inconsistencies in vast and highly variable data sets while staying updated with the latest trends in machine learning and incorporating them into system designs. The engineer will implement appropriate metrics to track the performance of machine learning models and collaborate with data engineers and architects to improve data quality, design, and implementation. Additionally, the AI Innovation Engineer will develop or assist in developing a framework to assess and evaluate commercially available AI solutions, provide training on AI tools and complex concepts, and perform other duties as assigned to meet the Firm's goals and objectives. This position is ideal for individuals who thrive in a collegial, collaborative, and diverse environment, and who are committed to excellence in client service.

Responsibilities

  • Assists in the implementation of artificial intelligence-powered services in the cloud and on-premise
  • Solves business or research problems using natural language processing (NLP), image recognition or text recognition
  • Reviews relationships, insights, and inconsistencies in vast and highly variable data sets
  • Stays updated with the latest trends in machine learning and incorporates them into system designs
  • Implements appropriate metrics to track the performance of machine learning models
  • Collaborates with data engineers and architects to improve data quality, design, and implementation
  • Develops or assists in developing a framework to assess and evaluate commercially available AI solutions
  • Provides training on AI tools and complex concepts
  • Performs other duties as assigned or required to meet Firm goals and objectives

Requirements

  • Bachelor's degree in Data/Computer Science, Statistics, or Business Analytics
  • Certifications in Microsoft Azure, Data Science, or AI (e.g., Applied Data Science) are highly desirable and preferred
  • Experience with predictive and automation tools
  • Prior experience with large-scale data repositories and cloud infrastructure/services (Azure preferred)
  • Experience analyzing large and/or complex data sets
  • Experience in designing and implementing machine learning solutions
  • Proven experience in deploying machine learning models at scale
  • Understanding of Large Language Models (LLMs) and their functions
  • Working knowledge of AI concepts and new techniques
  • Strong skills in data analysis and ML model building and implementation
  • Experience working with sensitive information
  • Strong communication skills to translate complex ML concepts to non-technical stakeholders
  • Proficiency in Microsoft Office 365 applications
  • Experience with Enterprise Relational Database Systems
  • Proficient in programming languages like SQL, R, and Python
  • Knowledge of data visualization software like Tableau and Power BI
  • Technical proficiency in database design, data models, data mining, and segmentation techniques
  • Hands-on experience working on and creating AI focused models
  • Comprehensive understanding of cloud platforms such as Azure
  • Experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • AD&D insurance
  • 401(k) savings plan
  • Back-up childcare and eldercare
  • Generous paid time off (PTO)
  • Opportunities for professional development and growth
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