We are looking for a highly motivated and collaborative person who can work with all levels of the organization. This position will require: Strong coding skills in Python/Scala or equivalent Strong experience with LLM and large sets of data Experience with distributed data processing tools like Hive, Spark, Airflow and popular ML frameworks like Tensorflow or Pytorch are preferred Solid understanding of engineering best practices and complexities of models in production Experience developing and productionizing machine learning models is a plus Experience with Docker, Kubernetes, and Spark is a plus Experience with distributed data processing tools like Hive, Spark, and Airflow is a plus Industry experience building end-to-end Machine Learning Infrastructure is a big plus The Senior Data / ML Engineer: Work closely with Machine Learning Engineers to understand, refine, and prioritize requirements Design and build our model serving service with simple, powerful APIs to capture our users/clients needs Build our core ML model lifecycle management system to provide an ML-aware release and deployment experience Improve machine learning data quality by using & building tools to automatically detect issues Create intelligent ML-aware real-time monitoring & observability systems Work closely with partner teams to integrate with other ML tools to create a seamless end-to-end experience Leverage open-source technologies like Kubeflow, Kubernetes, Spark, Docker, Airflow, Tensorflow, and PyTorch This is a remote position.