Description
Your day-to-day will include:
- Building and optimizing data pipelines for training, testing, and deploying deep learning models.
- Defining and implementing MLOps standards, including CI/CD pipelines for ML workflows.
- Implementing tools and practices for monitoring model performance, drift, and data quality in production.
- Conducting experiments, performing model evaluations, and fine-tuning algorithms for better performance.
Requirements
You’d be a good fit if you have:
- B.Sc. in Computer Science or an equivalent field.
- 5+ years of experience as a software engineer.
- 3+ years of experience working with Linux.
- Familiarity with ML pipelines, including data preparation, training, validation, visualization, deployment, and monitoring, preferably in computer vision.
- Experience implementing CI/CD pipelines using tools like Jenkins.
- An understanding of containers.
- Experience with C++/CUDA Advantage.
