Overview
Machine Learning Engineer Data Recognition Corporation, Maple Grove MN Company cannot provide sponsorship for this role Please, no agencies or third parties Summary: DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing…
Requirements Summary
2-5 years of professional experience with Python. Experience with ML frameworks such as TensorFlow or PyTorch Experience preparing datasets, training models and evaluating performance Hands-on experience with NLP techniques and large language models…
Technical Tools
awsms-officeopenaipythonpytorchsqltensorflowab-testingci-cdmachine-learning
Machine Learning Engineer
Data Recognition Corporation, Maple Grove MN
Company cannot provide sponsorship for this role
Please, no agencies or third parties
Summary:
DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing production‑ready ML models. Working within an interdisciplinary team, you will develop Python‑based AI solutions that run in scalable, cloud‑native environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.
Essential Responsibilities:
Design, train, evaluate and iterate on machine learning models to support DRC’s education analytics products
Develop high-quality, maintainable Python code for model training, experimentation and evaluation workflows
Collaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments
Diagnose and communicate issues related to model performance, data quality, or deployment behavior
Work with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
Contribute to best practices for model versioning, reproducibility and monitoring.
Required Qualifications:
2-5 years of professional experience with Python.
Experience with ML frameworks such as TensorFlow or PyTorch
Experience preparing datasets, training models and evaluating performance
Hands-on experience with NLP techniques and large language models (e.g., transformers)
Proficiency with data science tools and programming languages (e.g., Python, R, SQL).
Ability to communicate technical findings and issues clearly across teams
Familiary with deploying ML models to cloud-based environments (AWS preferred)
Understanding of CI/CD concepts and how models move from experimentation to production
Ability to identify and articulate deployment related issues without owning implementation
Preferred Qualifications (nice to have, not required):
Associates or Bachelor’s degree in Computer Science, Information Systems, Data Science or related technical field.
Hands-on experience working with large language models and prompt engineering (e.g., OpenAI)
Understanding of the unique challenges and requirements of educational assessment data
Experience working with version control (Git) and a collaborative development workflow
Essential Job Requirements:
Be able to work under supervision and accept feedback
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
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.