Note: The job is a remote job and is open to candidates in USA. The client is a leader in the AI testing industry seeking a Machine Learning Engineer / AI Engineer for a 12-month engagement. The role focuses on developing, deploying, and optimizing machine learning models, integrating them into production applications, and monitoring and improving their performance.
Responsibilities
- 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
- 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
Benefits
- Remote work arrangement
Company Overview