Sr. MLOps Engineer

Our client is seeking a Senior MLOps Engineer to join their team. As a ML Ops engineer you will be responsible for building and operating the platforms, pipelines, and standards that support the development, deployment, and lifecycle management of machine learning models and data products. This role is expected to participate and lead communication with business customers as well as cross-functional IT staff, to support business teams delivering machine learning models and advanced analytics solutions.

Job Duties & Responsibilities:

• Collaborate with cross-functional teams including Business Stakeholders, Business Analysts, Data Engineers, and other Software Engineers to identify and define requirements
• Design, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activities
• Implement and maintain automated pipelines supporting the development, deployment, and operation of machine learning models and data products, ensuring scalability, reliability, and efficiency
• Develop and maintain documentation for platforms, pipelines, and operational processes
• Participate in code reviews, testing, and deployment activities, adhering to SDLC best practices
• Evaluate and recommend tools, patterns, and process improvements to enhance machine learning and advanced analytics delivery
• Collaborate with peers to share knowledge, support team capability development, and promote consistent engineering and MLOps practices

Job Specific Skills:

• High proficiency in Python as a primary engineering language, with experience building, testing, and operating production systems supporting machine learning and analytics workloads
• High proficiency with SQL, and familiarity with Spark or other distributed data processing frameworks
• Experience establishing and operating a sustainable MLOps environment, including model deployment, pipeline automation, monitoring, and lifecycle management
• Strong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns
• Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases
• Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks
• Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions
• Strong knowledge of SDLC processes, including Agile methodologies
• Excellent problem-solving skills and ability to troubleshoot complex issues in live production environments
• Strong communication and collaboration skills, with the ability to work effectively in a team environment

Education:

• Minimum: High school diploma or GED
• Preferred: Bachelor s degree - from accredited university - IT, MIS, Information Systems, Computer Science or related field

Experience:

• Minimum: 5 - 8 years related work experience

Salary: $110,000 per year + Benefits.

About The Company

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 28 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

Helping every client make the best hiring decisions possible

Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi Rebecca)

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

• Conduct recorded video interviews
• Transcribe interviews
• Summarize candidate responses
• Generate job-related insights
• Streamline communication and scheduling

Please note that:

The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.

The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

• A technical interview
• A coding challenge
• A case study
• A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection:

Every candidate's profile including interviews, conversations, and assessments is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate:

At PTP, every candidate has the right to:

Request a non-AI interview path

Ask how your data is being used

Request access to transcripts or interview recordings

Request deletion of your AI-recorded interview

Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment:

For more than 28 years, PTP has focused on putting people first candidates, consultants, employees, and clients.

We're committed to a hiring process that is:

• Transparent
• Compliant
• Equitable
• Powered by innovative technology that enhances not replaces human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We're excited to learn more about you.

Equal Employment Opportunity:

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.