Machine Learning Engineer

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.
  
  

• 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.