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.
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.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Staffing and Recruiting
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