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Machine Learning Operations Engineer, Limassol

Our client, a cutting-edge Technology Services Provider located in Limassol, is looking to hire a Machine Learning Operations Engineer.


Responsibilities:

- Maintain AI infrastructure clusters

- Maintain models training infrastructure (GPU clusters)

- Deploy and maintain Kubeflow infrastructure

- Design and implement alerts system for models quality and AI services availability

- Deploy and maintain hyper-parameters tuning infrastructure

- Prioritizing requests from AI team fairly while demonstrating a sense of empathy

- Maintain and enhance our CI/CD pipelines for AI

- Collaborate with data engineering team to support production grade AI system

- Develop automation flows that enable fast delivery and replace manual operating procedures wherever they exist to enable self-service operations

- Drive analysis, design, and development of automation tools for deployment, development, and operational tasks

- Deploy & manage monitoring/observability infrastructure for staging & production

- Collaborate with DevOps team to enhance common infrastructure

- Make sure new environments meet requirements and conform to best practices


Requirements:

- 2+ years’ experience within hands-on technical DevOps/Cloud engineering

- Good knowledge of Python or Golang

- Experience with Kubernetes deployment patterns and tools such as Helm, Kustomize and Operators

- Experience utilizing DevOps tool chains including Jenkins, Docker, SonarQube, GitHub

- Experience with tools used for observability such as Elasticsearch, Kibana, Grafana, Prometheus, Jaeger etc.

- Experience with SQL & NoSQL databases such as PostgreSQL and MongoDB

- Experience with event steaming tools (i.e. Apache Kafka) and architecture patterns

- Exposure to Agile environments (use of Jira/Confluence, sprints, etc.)

- Good understanding of Machine Learning project life-cycle

- Great communication skills and team player mentality


Beneficial:

- Experience with production grade machine learning systems

- Advanced knowledge of Fairing frameworks or Kubeflow

- Experience with development of custom Kubernetes operators

- Experience with AutoML infrastructure

- Infrastructure as Code experience (Terraform, CloudFormation, etc.)

- Experience with Azure public clouds is a plus

- Understanding of network engineering and security principles (e.g. protocols, routing, switching, filtering, firewall rules, etc.)


Benefits:

- Attractive remuneration package including a 13th salary & Medical Insurance.

- Flexible working hours

- 100% Remote work is possible

- Professional growth opportunities

- Relocation Packages (where applicable)

- Many more!


If you wish to apply for this role, please send your updated CV to Stella Theodoulou at career@careeresti.com quoting ‘Machine Learning Operations Engineer’ on the email’s subject line. Please note that only shortlisted candidates will be contacted.

CareerEsti HR & Recruitment Services Limited is a licensed Private Employment Agency, by the Ministry of Labour, Welfare and Social Insurance (Cyprus), since 2019 (LN:370)

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