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.