Machine Learning Engineer

Overview

WORKSITE : 200 North LaSalle, Suite 2020, Chicago, IL 60601 (Part-time telecommuting is permissible (up to 4 days per week) from within the Chicago, IL metropolitan area)

OFFERED WAGE : $127,754.00 / Year

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Continuously research and implement best practices in machine learning and cloud infrastructure to enhance system capabilities and performance.
• Assist with and participate in code and PR reviews, best practices in development, document processes, and team-wide knowledge-sharing initiatives.
• Work closely with the artificial intelligence (AI) team to support and fine-tune large language models (LLMs), ensuring optimal performance and efficiency.
• Design, implement, and maintain data pipelines and Azure cloud infrastructure for deploying real-time machine learning models.
• Develop custom Apache Airflow solutions and design optimized DAGs to ensure seamless integration, automation, and efficiency of data processes.

Minimum Education and Experience

Master’s degree, or foreign equivalent, in Machine Learning, Data Science, Operations Research, or related field plus three (3) years of experience as a data engineer developing machine learning workflow systems.

Special Requirements

About Us

Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 800+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem.

Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.

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