Senior Machine Learning Engineer (Generative AI)

The Senior Machine Learning Engineer designs, prototypes, implements and maintains scalable ML systems and applications with Foundation Models. Responsibilities include collaborating with other teams to extract, transform, and load data from various data sources using APIs. Monitoring performance and SLAs of the ML systems is crucial, along with providing technical leadership and implementing necessary infrastructure changes. NLP experience is a plus, and experience with LLMs, Foundation Models, and Agents is highly valued. The role requires a Computer Engineering degree or similar, at least 5 years of software development experience, proficiency in Python, Scala/Java, strong SQL knowledge, familiarity with the machine learning life cycle and frameworks like Spark MLlib, Scikit-learn, TensorFlow, PyTorch, and LangChain. Good knowledge of software development lifecycle best practices, experience with AWS or other cloud services, and workflow management platforms like Airflow/Luigi are also important. Advanced English skills are necessary.