Role overview
We are looking for a motivated
Junior Machine Learning Engineer
to join our client’s team in Westchester, PA. This role is a great fit for someone with a strong technical foundation who wants hands-on experience building and supporting machine learning models in a cloud environment. You’ll work alongside senior engineers and analysts to help deliver practical data-driven solutions. This role is 3 days on site.
What you'll work on
- Assist with building, training, and deploying models using AWS tools such as SageMaker, Lambda, and EC2.
- Help organize, clean, and preprocess datasets stored in S3, Redshift, or similar systems.
- Contribute to setting up workflows and pipelines that make model training and deployment more efficient.
- Support testing and performance checks to ensure models stay accurate and reliable.
- Work closely with engineers, analysts, and stakeholders to understand project needs and deliver results.
- Keep track of models, processes, and workflows so they can be reused and improved.
- Follow best practices for handling sensitive data securely.
What we're looking for
- Python programming with libraries like scikit-learn, TensorFlow, or PyTorch.
- Familiarity with AWS services (SageMaker, EC2, Lambda, S3).
- Understanding of data cleaning and model evaluation basics.
- Some exposure to containerization (Docker) and version control (Git).
*Allied Resources complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Allied Resources does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender identity and expression, disability, veteran status, or other status protected by law.