Remote ML Engineer — Production AI/ML
Fresno, Fresno County, California, 93650, USA
Listed on 2026-05-20
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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:
This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:
- 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.
Skills & Experience:
We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:
- 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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