Remote ML Engineer — Production AI/ML, 12-Month Contract
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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#LI-LD1
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Apply To this Job
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.
#LI-JD1
#LI-LD1
Apply tot his job
Apply To this Job