Sr. Machine Learning Engineer - DevOps

DRC is one of the largest educational assessment and curriculum/instruction companies in the industry.

Data Recognition Corporation, Maple Grove, MN

Sr. Machine Learning Engineer - DevOps

Company cannot provide sponsorship

This role is not eligible for contract/consult

Please, no agencies

Summary:

DRC is seeking a data-savvy Senior Machine Learning Engineer with demonstrated ability to contribute to the advancement of DRC's Education Data Science initiatives. The Senior Machine Learning Engineer will lead DevOps efforts on a growing technology team and help build scalable, serverless, cloud-based systems that power education learning analytics. As part of an interdisciplinary team, you will also help investigate, develop, and optimize AI models for advanced analytical products and solutions. A successful candidate will have a strong background in cloud-native architecture, ETL development, and infrastructure automation. The ideal candidate will have 5+ years of experience in software engineering roles with a focus on Amazon Web Services (AWS), serverless computing, and CI/CD automation. A background in educational assessment and/or familiarity with machine learning technologies, including large language models (LLMs), is highly desirable.

Essential Responsibilities:

• Design, implement, and manage cloud-based infrastructure using AWS, with a strong emphasis on serverless computing (e.g., Lambda, API Gateway, DynamoDB, S3).
• Build and maintain robust ETL pipelines that support the ingestion, transformation, and delivery of educational assessment data.
• Develop and manage CI/CD pipelines to support application deployment and automated testing.
• Collaborate with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
• Implement best practices for infrastructure security, monitoring, logging, and reliability.
• Continuously evaluate and adopt new tools and frameworks to improve system performance and developer productivity.

Required Qualifications:

• 5+ years of professional experience in DevOps, Cloud Engineering, or Software Development.
• Advanced experience with Amazon Web Services (e.g., Lambda, S3, CloudFormation, Step Functions, ECS/Fargate).
• Proven expertise in building and maintaining ETL pipelines and data workflows.
• Proficiency in scripting and automation using tools like Python, Bash, or Node.js.
• Experience with CI/CD tools (e.g., GitHub Actions, Jenkins) and infrastructure as code (e.g., CloudFormation, Terraform).
• Experience with monitoring and observability tools (e.g., CloudWatch).
• Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field.

Preferred Qualifications:

• Experience in applying Machine Learning/ Data Science/ Statistical techniques
• Familiarity with modern machine learning practices and frameworks (e.g., TensorFlow, PyTorch)
• Hands-on experience working with large language models (e.g., OpenAI)
• Understanding of the unique challenges and requirements of educational assessment data

Essential Job Requirements:

• Familiarity with Microsoft Office Suite
• Relate effectively and work respectfully with diverse work groups
• Ability to consistently perform well during times of increased workload
• Set and meet deadlines
• Manage multiple job functions simultaneously

Reporting to this position: No direct reports

Physical Requirements:

• Ability to sit and/or stand for up to 8 hour periods of time.
• Ability to look at a computer monitor, utilize a keyboard and/or mouse for up to 8 hours per day.
• Ability to lift up to 20 pounds as necessary.

DRC retains the right to change or assign other duties to this position

No Agencies, Please

Company cannot provide sponsorship for this position

www.datarecognitioncorp.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

• Maple Grove, MN, USA
• Virtual