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Machine Learning Engineer, Entry Level
Emonics LLC
Chicago · On-site Full-time Entry Level Today
About the role
About the role
We are hiring a Machine Learning Engineer to help design, build, and deploy ML solutions. This role focuses on turning models into reliable systems and collaborating with engineering teams to operationalize ML.
What you will do
- Develop and train ML models with reproducible pipelines
- Build data preprocessing workflows and feature generation
- Deploy models to production and monitor performance
- Work with stakeholders to define success metrics and test outcomes
- Document experiments and contribute to best practices
What you are looking for
- Degree in CS, Data Science, Engineering, or related field
- Strong Python, data handling (pandas), and ML fundamentals
- Familiarity with scikit-learn and basic model evaluation
- Understanding of software engineering basics (Git, testing, modular code)
Nice to have
- PyTorch or TensorFlow
- Experience with ML pipelines, Airflow, or workflow orchestration
- Exposure to CI/CD, Docker, and cloud services
Requirements
- Strong Python, data handling (pandas), and ML fundamentals
- Familiarity with scikit-learn and basic model evaluation
- Understanding of software engineering basics (Git, testing, modular code)
Responsibilities
- Develop and train ML models with reproducible pipelines
- Build data preprocessing workflows and feature generation
- Deploy models to production and monitor performance
- Work with stakeholders to define success metrics and test outcomes
- Document experiments and contribute to best practices
Skills
DockerGitPandasPyTorchPythonScikit-learnTensorFlow
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