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.
E-mail:
recruitmentmd@eu.rsystems.com