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Senior Machine Learning Architect

2 weeks ago

Waterford, Waterford, Ireland beBeeMachineLearning Full time €90,000 - €120,000
Job Description:

We are seeking a seasoned AI professional to lead the development of our machine learning platform. The ideal candidate will have a strong background in Python and Go, as well as experience working with Kubernetes and cloud-native technologies.

The selected individual will be responsible for creating a scalable and secure platform that can handle large datasets and complex algorithms. They will also need to work closely with cross-functional teams to deliver new product features and ensure non-functional requirements are met.

Key Responsibilities:
  • Design and develop a high-performance machine learning platform
  • Collaborate with the AI Innovation team to deliver LLM training, continual learning, and reinforcement learning techniques
  • Embrace an upstream first mindset to influence MLOps communities such as Kubeflow
  • Liaise with stakeholder groups and cross-functional teams to deliver new product features
  • Ensure non-functional requirements including security, resiliency, and maintainability are met
Requirements:
  • Advanced experience in Python and Go
  • Advanced experience developing applications in Kubernetes, OpenShift, or other cloud-native technologies
  • Ability to quickly learn, adapt and guide others on using new tools and technologies
  • Proven ability to innovate and a passion for staying at the forefront of technology
  • Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them
  • Autonomous work ethic, thriving in a dynamic, fast-paced environment
  • Excellent written and verbal communication skills
What We Offer:
  • A collaborative and dynamic work environment
  • Ongoing training and career development opportunities
  • A competitive salary and benefits package
About Us:

We are a leading provider of enterprise open source software solutions, delivering Linux, cloud, container, and Kubernetes technologies across multiple industries.