Senior Software Engineer, LLM MLOps Platform

What you'll be doing:

• Support machine learning teams that deliver some of the most incredible large language model based products at NVIDIA
• Develop machine learning pipelines for those teams across the entire MLOps process: Data acquisition & ingestion, curation, labeling, preparation, training, evaluation and system validation.
• Follow the best MLOps practices of automation, monitoring, scale and safety.
• Develop a unified MLOps methodology that ML teams can follow to be highly productive and deliver safe AI products.
• Contribute to the MLOps platform and develop tools to help ML teams be more effective.

What we need to see:



• Masters in Computer Architecture, Computer Science, Electrical Engineering or equivalent experience
• 5+ years of experience with all phases of the software development lifecycle, including system analysis, design, coding, testing, debugging and documentation.
• Experience working and data engineering frameworks such as Kafka, Cloudera, Spark, Airflow or Hadoop.
• Strong development experience in Python, GO and scripting languages like Shell
• Development experience with Postgres, SQL, MongoDB, redis
• Working knowledge of Amazon Web Services, Kubernetes, Docker is a plus.
• Demonstrated the ability to develop data-first, production machine learning pipelines.
• Experience developing machine learning tools for users
• Excellent collaboration and communication skills.