Machine Learning Engineer

Posted 23 Days Ago
Chicago, IL
In-Office
128K-128K
Senior level
Information Technology • Consulting
The Role
Collaborate on machine learning solutions, optimize models, maintain data pipelines, and implement best practices in machine learning and cloud infrastructure.
Summary Generated by Built In

EMPLOYER: Harbor Employees LLC    

POSITION: Machine Learning Engineer    

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

JOB DUTIES: 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. Part-time telecommuting is permissible (up to 4 days per week) from within the Chicago, IL metropolitan area. 

Minimum Education and Experience Requirements: 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: Must include at least three (3) years of experience including with: Python; machine learning frameworks including TensorFlow and PyTorch; Apache Airflow; Azure cloud services; developing real-time intelligent workflow systems for professional services. Must include at least one (1) year of experience: designing and managing scalable, real-time data pipelines, optimizing machine learning models for high-performance, industry-specific applications, and building adaptive AI frameworks within these sectors; developing automation roadmaps and advising on AI solutions to meet business objectives in compliance critical environments. 

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. 

Top Skills

Apache Airflow
Azure
Python
PyTorch
TensorFlow
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The Company
HQ: Chicago, Illinois
644 Employees

What We Do

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 navigates 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

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