Machine Learning Engineer / AI Engineer

DeWinter Group; Campbell (CA); On-site; USD 68,880 - 241,080; Full time

Job summary

A leader in the AI Testing Industry is seeking a Machine Learning Engineer to join their team remotely for a 12-month contract. The role involves developing and optimizing machine learning models, integrating them into production applications, and monitoring performance. The ideal candidate will have over 4 years of experience in machine learning and software engineering, deep expertise in Python and relevant ML libraries, and strong communication skills. This role is high-impact requiring a self-motivated professional.

Qualifications

• 4+ years of experience in Machine Learning or Software Engineering.
• Deep expertise in Python, PyTorch/TensorFlow, and scikit-learn.
• Demonstrated ability to work autonomously and manage your own time effectively.

Responsibilities

• Developing and fine-tuning machine learning models for domain-specific datasets.
• Integrating AI models into production applications via scalable APIs.
• Implementing data preprocessing and feature engineering pipelines.

Skills

Python

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

Tools

SageMaker

Vertex AI

Job description

Title: Machine Learning Engineer / AI Engineer
Job Type: Contract
Contract Length: 12 Months
Pay Range: $50/hr – $175/hr
Start Date: ASAP
Location: Remote

About the Opportunity

Our client, a leader in the AI Testing Industry, is looking for a skilled Machine Learning Engineer / AI Engineer to join their team for a 12‑month engagement. This project involves developing, deploying, and optimizing machine learning models to improve performance on domain‑specific datasets and integrating them into production applications. This is a high‑impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly.

Key Responsibilities & Deliverables

• Developing and fine‑tuning machine learning models to improve performance on domain‑specific datasets.
• Integrating AI models into production applications via scalable REST or gRPC APIs.
• Implementing data preprocessing and feature engineering pipelines to ensure high-quality model inputs.
• Monitoring model performance in production and executing retraining loops to combat model drift.
• Troubleshooting performance bottlenecks in the model inference path to minimize latency for end‑users.

Required Skills & Experience

• 4+ years of experience in Machine Learning or Software Engineering.
• Deep expertise in Python, PyTorch/TensorFlow, and scikit‑learn. This isn’t a learning role—you need to be a subject‑matter expert.
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• Experience with Docker, Kubernetes, and cloud‑based ML platforms (SageMaker, Vertex AI).
• Strong communication skills to provide clear and concise status updates to the project team.