Temp ML Engineer: Build & Deploy Production Models (Remote/Hybrid)

Garden Life Dev; Goldsboro (NC); Ibrido; USD 58.000 - 101.000; Tempo pieno

Descrizione del lavoro

Garden Life Development is seeking a Machine Learning Engineer for a full-time temporary role in North Carolina. You will move models from experiment to production, prepare data, build and tune models, deploy them reliably, and maintain performance.

You will work with TensorFlow, PyTorch, and scikit-learn, with on-site, hybrid, or remote options depending on the assignment. A bachelor’s degree is required; prior ML or software experience is encouraged.

Competenze

• Experience in ML engineering or software engineering with ML.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow) and containerization.
• Bachelor's degree in a related field or equivalent education and experience; degrees and certifications verified.

Mansioni

• Implement and optimize machine learning models for business problems.
• Gather requirements and design data-driven solutions with cross-functional teams.
• Prepare and analyze large datasets for quality and relevance.
• Select and apply algorithms and frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Deploy models into production and integrate with existing systems.
• Monitor model performance and retrain or fine-tune as needed.
• Document workflows and processes so results can be reproduced.

Conoscenze

Experience in ML engineering or ML for

Python

PyTorch

TensorFlow

Containerization

Formazione

Bachelor's degree in a related field

Strumenti

Python

PyTorch

TensorFlow

scikit-learn

MLflow

Docker

Descrizione del lavoro

Garden Life Development is seeking a Machine Learning Engineer for a full-time temporary role in North Carolina. You will move models from experiment to production, prepare data, build and tune models, deploy them reliably, and maintain performance.

You will work with TensorFlow, PyTorch, and scikit-learn, with on-site, hybrid, or remote options depending on the assignment. A bachelor’s degree is required; prior ML or software experience is encouraged.