Title: Senior Machine Learning Engineer – AI Infrastructure Location: Onsite 3 days/week – Deerfield, IL, Chicago (OPO), or Bellevue Duration & Type: Initial 3-Month Contract with potential conversion to FTE (30–90 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 supporting a key client in identifying a highly skilled Senior Machine Learning Engineer to join their AI Infrastructure team. This role plays a pivotal part in the development, deployment, and scaling of ML models and pipelines to support real-time and offline analytic processing. The selected candidate will collaborate with product teams, data scientists, and AI/ML engineers to architect robust and scalable machine learning solutions across cloud-based environments. This is a hands-on engineering role where you’ll also help establish best practices, mentor junior team members, and take ownership of deployment and infrastructure activities for enterprise-scale ML applications. Click Apply Now to join the Chamberlain experience. What You’ll Be Accountable For • Develop software to process, store, and serve data and machine learning models. • Build scalable data pipelines and structures to support ML and analytics workloads. • Write and optimize ETL/ELT processes and data flow schedules across on-prem and cloud platforms. • Troubleshoot issues related to data consistency, model deployment, and infrastructure reliability. • Ensure adherence to data quality, accessibility, and security standards. • Partner with AI/ML scientists to support model development, deployment, and real-time inference. • Anticipate and mitigate risks related to ML model performance, architecture, or system scale. • Collaborate cross-functionally with peers, leadership, and stakeholders across matrixed environments. • Lead efforts to improve automation and reproducibility in ML development via CI/CD and DevOps tooling. What Qualifications You Need • Bachelor’s degree and at least 4 years of experience in machine learning, software engineering, or data engineering. • Advanced programming proficiency in Python, C/C++, Java, Spark, or Scala. • Deep knowledge of SQL and relational data structures. • Demonstrated experience with designing and implementing scalable ML infrastructure. • Strong cross-functional collaboration skills within matrixed organizations. • Proven ability to resolve complex technical issues, present insights to senior leadership, and influence strategy. • At least 2 years of financial accountability and leadership of technical teams or cross-functional projects. • Willing to travel up to 10% of the time, as needed. Preferred Qualifications • Graduate degree in a technical discipline. • Experience with cloud-native platforms (AWS, Azure, GCP) and their ML service offerings. • Experience deploying ML models using Kubeflow, Seldon, MLFlow, or similar open-source tools. • Proficiency in CI/CD tools such as Tekton, Azure DevOps, or GitHub Actions. • Strong background in Infrastructure as Code (IaC), especially with Terraform. • Familiarity with workflow orchestration tools like Airflow or Prefect. • Experience building streaming and batch pipelines using Spark or Databricks. • Experience with API development and deploying services in Kubernetes multi-tenant environments. • Strong troubleshooting capabilities across distributed systems, with a focus on performance and cost optimization. • Experience designing monitoring and alerting frameworks for cloud-based AI/ML systems using ELK stack, Splunk, or similar tools. 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.