Candidates should have practical experience in feature engineering, tree-based models, deep learning, timeseries modeling, and production ML use cases in areas such as fintech and manufacturing. Proficiency in LLM Agents and AutoML is required, along with sufficient software engineering skills to conduct large-scale research experiments and build production prototypes.
Candidates should have hands-on experience in building distributed systems, including real-time streaming and batch data processing. Proficiency in multiple programming languages relevant for such systems, such as Python, Rust, C++, Go, and Java, is required. Knowledge about deploying and operating high availability production systems in the cloud is essential, along with experience designing service-oriented architectures and leveraging various data store technologies. A strong energy and ambit…
Candidates should have proficiency in multiple programming languages relevant for infrastructure systems, such as Python, Rust, C++, Go, or Java. They must have knowledge about deploying and operating high availability production systems in the cloud and experience in designing service-oriented architectures while leveraging various data store technologies. A growth mindset and intrinsic desire for continuous improvement are essential.