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Machine Learning Engineer
About the role
We are looking for a Machine Learning Engineer to join our team. You will train and evaluate machine learning models.
Responsibilities
- Train and evaluate machine learning models.
- Deploy models as services or batch jobs.
- Monitor drift and performance.
- Build feature pipelines.
- Work with data scientists and engineers.
Required
- Python
- PyTorch or TensorFlow
- Model deployment and serving
- SQL
- Cloud (AWS, GCP or Azure)
Preferred
- MLOps (MLflow, Kubeflow)
- LLMs and RAG
- Docker
- Feature stores
Tools and stack
Python, PyTorch or TensorFlow, scikit-learn, MLflow, Docker and Kubernetes, A cloud ML service
Employment type: [Contract / W2 / C2C / Full-time]
Location: [City, ST / Remote]
Duration: [months]
Work authorization: [accepted types]Responsibilities explained
Each responsibility maps to something a candidate should be able to describe.
- Train and evaluate machine learning models.
- Deploy models as services or batch jobs.
- Monitor drift and performance.
- Build feature pipelines.
- Work with data scientists and engineers.
Required skills
Treat these as the screen. If a candidate cannot speak to them, they are rarely a fit.
- Python
- PyTorch or TensorFlow
- Model deployment and serving
- SQL
- Cloud (AWS, GCP or Azure)
Preferred skills
Use these to rank candidates who meet the required list.
- MLOps (MLflow, Kubeflow)
- LLMs and RAG
- Docker
- Feature stores
Other titles this role appears under
Search and post under the variants your clients use.
- Machine Learning Engineer
- ML Engineer
- AI Engineer
- MLOps Engineer
Seniority guide
Pick the level you need and state it plainly in the posting.
- Junior: trains models with guidance.
- Mid: ships and monitors models.
- Senior: designs the ML platform and standards.
Tailoring a resume to this description
When you submit a consultant, mirror the required skills and tools in the summary and the most recent role, using only experience the candidate really has. MatchWire’s resume tailoring drafts this from the candidate’s stored work history and the posting.
Frequently asked questions
How long should a job description be?
Long enough to list the responsibilities, required and preferred skills, tools and logistics, usually 300 to 500 words.
Should I list a rate in the description?
If the client allows it, a range helps candidates self-select. Otherwise state it as “rate to be discussed” and confirm it before submitting.