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Machine Learning Engineer/AI Engineer
Remote / Online - Candidates ideally in
Campbell, Santa Clara County, California, 95011, USA
Listed on 2026-05-19
Campbell, Santa Clara County, California, 95011, USA
Listing for:
DeWinter Group
Contract, Remote/Work from Home
position Listed on 2026-05-19
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Title: Machine Learning Engineer / AI Engineer
Job Type: Contract
Contract Length: 12 Months
Pay Range: $50/hr – $175/hr
Start Date: ASAP
Location: Remote
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.
- 4+ years of experience in Machine Learning or Software Engineering.
- Deep expertise in Python, PyTorch/Tensor Flow, 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 (Sage Maker, Vertex AI).
- Strong communication skills to provide clear and concise status updates to the project team.
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