Machine Learning Engineer (or MLOps Engineer)

We are on the lookout for a Machine Learning Engineer with a strong experience in software engineering to join our team. This role is designed to merge the realms of machine learning and software engineering, focusing on the development of AI-driven products at scale.
The Machine Learning Engineer will be instrumental in transforming prototypes into production-level solutions, developing new features for our AI-driven products, and designing robust & scalable machine learning architectures.

• Educational Background: Bachelor's degree or higher (Masters or Ph.D. preferred) in Computer Science, Machine Learning, Physics, Mathematics, Statistics, or a similar quantitative field.
• High level understanding of modern MLOps trends
• High level mathematical understanding of general machine learning models
• Proficiency in using at least one of modern ML frameworks such as TensorFlow, PyTorch, or Keras, etc.
• Experience in full lifecycle in production development: from (large scale) data pipelines to model training, inference APIs (both batch and real-time), and model version control & tracking/observability, including overall solution design optimizations.