Research Engineer

August 26

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J BANDY CONSULTING LTD

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sales playbooks • sales improvement • sales playbook • sales coaching • talent

2 - 10

Description

• Engage in experimental proof-of-concept work using viable technologies to push the boundaries of the company’s vision. • Support innovative projects, collaborating with other product teams and departments. • Facilitate high-quality technical design and decision making that addresses scaling and operational issues. • Conduct rigorous testing and validation of prototypes and software solutions. • Develop and manage machine learning infrastructure, ensuring efficient deployment and scalability. • Maintain and augment Data Mesh to enhance data quality, accessibility and reliability across the organization. • Lead initiatives to integrate advanced machine learning products into existing and future products across the organization. • Plan, deploy, and manage all cross-domain dependencies and surfaces. • Interwork with documentation teams to ensure clarity and concise OAM materials.

Requirements

• Experience as a software engineer developing and maintaining big-data applications. • 2-3 years experience in Go. • 3-4 years experience in one of the following: Rust, Go, Python, Scala, Kotlin. • Experience with GraphQL. • Experience in deployment and monitoring of ML infrastructure. • Knowledge in implementing Data Mesh architectures and understanding of data governance principles. • Experience with any of the following: Kubernetes, Docker & CI/CD (Gitlab Pipelines). • Previous experience with Data Mesh architectures. • Previous experience with streaming / real-time data architectures. • Experience with time series and graph databases. • Previous experience with greenfield projects. • Strong analytical and problem-solving skills. • Strong communication.