Senior Software Engineer, LLM MLOps Platform

What you'll be doing:

• Build machine learning workflows for large language model (LLM) projects
• Work together with NVIDIA's MLOps platform to build plugins and visualization tools for effective data analysis
• Bring up research projects into production workflows. Work with researchers to build 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 data privacy
• Develop a unified MLOps methodology that LLM teams can follow to be highly productive and deliver trustworthy AI products
• Contribute to the MLOps platform and develop tools to help ML teams be more effective.

What we need to see:

• You have a Masters in Computer Architecture, Computer Science, Electrical Engineering or equivalent experience
• Overall 6+ years of experience in architecting, designing and implementing software solutions, preferably in Distributed Computing, Data Engineering and Data Analytics.
• Software development experience in Python, GO and scripting languages like Shell
• Strong development experience with Postgres, SQL, MongoDB, redis
• Experience using end-to-end MLOps platforms such as Kubeflow, MLFlow, AirFlow
• Experience with data pipelines/analysis/visualization tooling such as PowerBI, Elastic stack, Logstash, Kibana, Kafka, Grafana, Splunk, Pandas, Message brokers, Data modeling etc.
• Knowledge of parallel programming architectures or experience programming distributed systems.
• Working knowledge of Amazon Web Services, Kubernetes, Docker is a plus.
• Knowledge of Cloud Based solutions like Kendra, SageMaker, Auto-ML, Big Query, RedShift, Glue, Athena, FireHose etc.
• Ability to lead technical projects from problem to solution.
• Willing to take action and have strong analytical skills.
• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
• Excellent communication and presentation abilities, capable of conveying complex technical concepts to non-technical audiences.
• Leadership skills with the ability to inspire and motivate team members toward common goals.
• Demonstrates a behavior that builds trust: modesty, transparency, respect, intellectual honesty.
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