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Data Analytics & AI Services
Junior Machine Learning Engineer
Remote Full-time 0-2 years Bachelor's Degree
Apply for this Position Position Overview
We are looking for a junior ML engineer who wants to learn what happens to a model after the notebook. You will turn research code into tested modules, package models for serving, and follow a deployment through to the point where real requests hit it — with a senior engineer reviewing each step.
Key Responsibilities
- Implement well-scoped pieces of training and inference pipelines, with each change reviewed.
- Package models for serving: containerize them, define the interface, and write the smoke tests.
- Turn notebook code from data scientists into tested, reviewable Python modules.
- Add logging and metrics to inference services so a prediction can be explained after the fact.
- Run training jobs and track them properly — parameters, data version, and results.
- Write unit tests for feature transformations and check that training and serving compute the same values.
- Investigate failing jobs, reproduce them locally, and write up what you found.
- Learn the deployment path — how a model actually gets from a branch to serving traffic.
Skills & Qualifications
- 0-2 years in an ML, data, or software engineering role, or a strong internship.
- Python fundamentals plus testing; comfortable working outside a notebook.
- Working knowledge of scikit-learn and one deep learning framework such as PyTorch.
- Understanding of train and validation splits, overfitting, and the standard evaluation metrics.
- Git workflow and the basics of Docker.
- SQL good enough to assemble your own training data.
- Bachelor's degree in computer science, engineering, or a quantitative field, or equivalent grounding.
Nice to Have
- MLflow or another experiment tracking tool.
- Any exposure to Kubernetes.
- FastAPI or a similar framework for serving a model behind an API.
- Hands-on time with the ML services on AWS, Azure, or GCP.
What You'll Gain
- Competitive salary.
- Fully remote — work from wherever you're most productive.
- Annual learning budget for books, courses, and conferences.
- Top-tier hardware and software tooling.
- Private health insurance and flexible time off.
Apply for this Position
Send your CV and a short cover letter. We'll reply by email.
Apply for this Position