Remote ML Engineer — Production AI/ML, 12-Month Contract
Title:Machine Learning Engineer / reputed company Job Type:Contract Contract Length:12 Months Pay reputed company:$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 reputed company 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 reputed company.
- 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 reputed company, Kubernetes, and reputed company-based ML platforms (SageMaker, reputed company AI).
- Strong communication skills to reputed company clear and concise status updates to the project team.
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