Machine Learning Engineer - Python-SQL-Cloud (mid/senior)

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Company: Data Recognition Corp

Location: Maple Grove, MN 55311

Description:

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

Data Recognition Corporation, Maple Grove, MN

Machine Learning Engineer (mid or senior level)

Company cannot provide sponsorship

This role is not eligible for contract/consult

Please, no agencies

Job Title: Machine Learning Engineer

DRC is seeking a data-savvy Machine Learning Engineer with demonstrated ability to contribute to the advancement of DRC's Education Data Science initiatives. The Machine Learning Engineer will support 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 3+ years of experience in software engineering roles with a focus on Amazon Web Services (AWS), serverless computing, and CI/CD automation.

Essential Position Responsibilities:
  • Design, implement, and manage cloud-based infrastructure using AWS, with a strong emphasis on serverless computing (such as Lambda, 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 and model evaluation.
  • 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:
  • 3+ years of professional experience in DevOps, Cloud Engineering, or Software Development.
  • Advanced experience with Amazon Web Services (such as Lambda, S3, CloudFormation, Step Functions, ECS).
  • Proven expertise in building and maintaining ETL pipelines and data workflows.
  • Proficiency in scripting and automation using tools like Python, Bash, Groovy or Node.js.
  • Experience with CI/CD tools (such as Jenkins, GitHub Actions, Azure Devops) and infrastructure as code (such as CloudFormation, Serverless, Terraform).
  • Experience with monitoring and observability tools (such as CloudWatch).


Preferred Qualifications:
  • Experience in applying Machine Learning/ Data Science/ Statistical techniques
  • Associates or Bachelor's in Computer Science, Information Systems, or related technical field.
  • Familiarity with modern machine learning practices and frameworks (such as TensorFlow, PyTorch)
  • Hands-on experience working with large language models (such as OpenAI)
  • Understanding of the unique challenges and requirements of educational assessment data


No Direct reports

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.

DRC offers a comprehensive benefits program that allows employees to make choices that best meet their current and future needs. We offer many benefits, including medical, wellness, dental, and vision insurance, a 401(k), flexible spending and health savings accounts, short and long-term disability insurance, and life insurance. DRC also offers a generous paid time off policy and community service leave.

Data Recognition Corporation is an Affirmative Action/Equal Opportunity Employer. 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.

The salary range is a guideline. Compensation will be based on skills, knowledge, and experience.

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