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Remote ML Engineer — Production AI/ML, 12-Month Contract

Work from home Full-time role Hiring

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 Engineerto 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.

Required 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/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.

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