5 days ago Be among the first 25 applicants Direct message the job poster from Chamberlain Advisors Title: Senior AI/ML Quality Engineer

Location: Onsite 3 days/week Deerfield, IL, Chicago (OPO), or Bellevue

Duration & Type: Initial 3-Month Contract with potential conversion to FTE (3090 days)

Compensation: Competitive W2 Hourly Rate ($56-$62), Access to Healthcare and Dental Insurance Plan of Choice. (Benefit Plans can be requested at time of submission to client)

Summary

Chamberlain Advisors is partnering with our client to identify a Senior AI/ML Quality Engineer to join a rapidly advancing machine learning team. This role focuses on designing, testing, and deploying high-quality automation solutions for AI/ML initiatives. The ideal candidate will bring hands-on experience validating artificial intelligence systems, machine learning models, and web-based platforms that incorporate these technologies. As a QA leader within the team, youll play a critical role in ensuring performance, scalability, and reliability of machine learning-driven applications across the organization. You will collaborate closely with AI/ML engineers, data scientists, product teams, and leadership to develop and execute test strategies, monitor deployment pipelines, and lead quality initiatives Click Apply Now to join the Chamberlain experience.

What Youll Be Accountable For

Design and implement test automation solutions for AI/ML models and web-based applications. Define test strategies, author test plans, and perform functional, exploratory, and performance testing. Build AI-driven testing solutions such as smart test selection, failure diagnosis, and failure prediction. Develop and maintain scalable data pipelines and workflows to support ML model deployment. Ensure data integrity and quality by integrating and testing datasets from varied sources. Collaborate with AI/ML scientists to support model development, testing, and deployment. Integrate QA automation with CI/CD pipelines (GitHub Actions, Tekton, Azure DevOps). Use tools such as Kubeflow, MLFlow, Apache Spark, Airflow, or Databricks to manage ML infrastructure. Troubleshoot complex distributed systems and optimize performance and costs. Lead QA practices and mentor QA, ML, and Software Engineers on methodologies and tooling. Maintain compliance with internal best practices and security standards.

What Qualifications You Need

Bachelors degree and at least 4 years of hands-on experience in AI/ML, software engineering, or data engineering. 3+ years of experience with SQL and one or more of the following: Python, C/C++, Java, Scala, Spark. Experience building and validating automation frameworks for AI/ML systems. Strong understanding of software QA methodologies and automation tools. Demonstrated success establishing key internal/external relationships and collaborating within matrixed environments. Strong problem-solving skills, with experience debugging and resolving complex QA issues. At least 2 years of leadership or cross-functional project team experience. Willingness to travel up to 10% for business purposes if needed.

Preferred Qualifications

Graduate degree in a technical discipline. Experience deploying ML models at scale using tools like Kubeflow or Seldon. Familiarity with ML registries (e.g., MLFlow) and DAG-based orchestration (e.g., Airflow, Prefect). Deep knowledge of CI/CD processes and pipeline automation for ML and software deployments. Experience integrating AI/ML testing into agile development environments. Proven ability to define QA strategy and lead continuous improvement initiatives. Background in cost and performance optimization for distributed systems.

About The Client

Our fortune 20 client is seeking innovative and intelligent individuals to join their team. Here is your opportunity to join one of the largest healthcare and retail pharmacy companies in the U.S, with more than 10 million customers, over 8,000 retail stores, and a presence in multiple countries. Our client is constantly creating groundbreaking ways to meet customer needs, improve their health, and be a force for good in the world. This is your chance to work in a truly supportive environment and be a part of a progressive organization dedicated to the well-being of their customers, team members, and communities.

Why Work with Chamberlain?

Chamberlain Advisors is a veteran-owned business that provides human capital solutions through contract, contract-to-hire, direct-hire, and retained-search opportunities. Chamberlain candidates benefit from our unique hiring and interviewing process which has been designed to increase the likelihood that they will be successful in their job searches. This is achieved through our 5-step recruitment process, ensuring a top-of-the-line candidate experience. Find out what makes us different; apply to Chamberlain today.

Equal Employment Opportunity

Chamberlain Advisors provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Chamberlain Advisors complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Chamberlain Advisors expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Chamberlain Advisors' employees to perform their job duties may result in discipline up to and including discharge.

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