The LaSalle Network Inc
Location
Chicago, IL | United States
Job description
LaSalle Network is seeking an experienced ML Engineer for a top client in the PE industry. This individual will play a key role in building, deploying, monitoring and maintaining ML models in production. This position will require 3-4 days/week onsite in Downtown Chicago.
ML Engineer Responsibilities:
Collaborate with cross-functional teams including data scientists and software engineers to develop, deploy, monitor and maintain machine learning models in production environments
Lead the seamless integration of machine learning workflows with CI/CD pipelines, ensuring consistent model versioning, rigorous testing and smooth rollout
Design and deploy ETL and ELT flows to efficiently consume data from diverse third-party sources, catering to various machine learning applications
Construct monitoring tools for data pipelines, actively troubleshooting and debugging to identify and resolve data quality and performance issues
Work closely with data scientists, engineers and stakeholders to translate project requirements into detailed technical specifications
Contribute to shaping the future of software engineering by introducing innovative ideas for improvement and automation
ML Engineer Requirements:
Possess a minimum of 5 years of experience in machine learning, data science, software development, or related fields, showcasing significant contributions
Demonstrate exceptional coding skills in Python
Additional proficiency in RESTFUL API design, particularly with Flask, Django, or FastAPI, is advantageous
Strong SQL skills and a working knowledge of multiple database types
Experience in ML Ops and deploying machine learning models
Familiarity with modern cloud platforms such as AWS, Azure, or GCP
Knowledge of NLP techniques, including State-of-the-Art Language Models (SOTA LLMs), is a plus
Experience in DevOps for CI/CD and Infrastructure as Code (IaC) is desirable
Familiarity with Kubernetes clusters and GPU-based infrastructure
Knowledge of Scala and Spark or PySpark is a positive addition
Experience with modern data pipelines is beneficial
Exhibit a passion for machine learning, coupled with a mission-driven, hard-working, and humble team player mentality
Display a bias for execution and delivery, emphasizing the importance of delivering reliable software consistently
Ability to contribute to system design and generate key technical assumptions while promoting solutions that align with existing infrastructure
Willingness to be resourceful, flexible, and adaptable, with an open approach to tasks of varying scope
If this role interest you, please apply today!
Thank you,
Kelsey Gonzalez
Team Lead
LaSalle Network
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Marketing, Technology, Supply chain, Healthcare Revenue Cycle, Call Center, Human Resources and Executive Search. LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries. LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends and hiring challenges, and more to national news outlets.
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Job tags
Salary
$160k - $180k
