DevOps Engineer with Python

You would work on the new ML and AI platform involving several Sprint teams around the new AI/ML product. We are looking for an excellent Software Engineer experienced in high quality production Python code.  

Job Responsibilities:

• Participate in the development of highly scalable platforms for extracting, analyzing, and processing large amounts of contextual data from a plethora of sources, both in real-time and in batch modes.
• Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.
• Working closely with other engineers and scientists, develop solutions to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.

Basic Qualifications:

• Degree in mathematics/computer science or related discipline.
• 7+ years of hands-on experience deploying the platforms or software at production scale
• 7+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
• 3+ years of experience in Python.
• MLOps (e.g., Kubeflow,KNative, KServe, Nvidia Triton, ML Flow)
• Distributed Systems (e.g., Kafka, or SQS, Data Pipeline, Serverless Async system)
• Graph (e.g., Neo4j, Cypher, Gremlin, GraphQL)
• Cloud Infrastructure (e.g., Kubernetes, Terraform, CICD)

Preferred Qualifications:

• MS or PhD in Computer Science or equivalent experience.
• Experience working with large-scale distributed systems, preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience dealing with real-world large-scale datasets.
• Strong understanding and passion for statistical/mathematical modeling and data analysis.