Senior Machine Learning Engineer Opportunity

ai connect company

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Senior Machine Learning Engineer in IRELAND

Visa sponsorship & Relocation 1 year ago

Senior Machine Learning Engineer – Dublin (Hybrid Working)

€120,000 - €170,000 + Bonus & Stock Options


AI connect are partnering with a global AI company to help them build their diverse machine learning research team. The company have one of the most innovative AI platforms which uses a variety of large language models to support user experience both from a customer and employee perspective using state of the art AI agents and AI copilots.


The role:


  1. You’ll work as part of a team responsible for defining new ML features, researching appropriate algorithms, and rapidly getting first prototypes in to customers’ hands.
  2. You’ll work alongside ML product engineers enabling you to move to production fast, often shipping to beta in weeks after a successful offline test.
  3. You’ll be passionate about applying machine learning technology, working in a team that have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.
  4. Taking algorithms which work offline, and putting them in a production setting.
  5. Run production ML infrastructure and evolve it over time. Help develop new data infrastructure to enable exploration.
  6. Create processes for large scale data analyses, model development, validation, scalability, optimisation and implementation
  7. Work alongside product and design teams with the aim of creating better outcomes for users.
  8. Raise the bar for technical standards, performance, reliability, and operational excellence


Skills & Experience:


  1. Advanced engineering skills with tools used to write, test, deploy, debug and monitor software.
  2. Highly experienced in a production environment, with contributions to the design and architecture of distributed systems.
  3. Strong understanding of public cloud services with a preference for AWS.
  4. Knowledge of MLOps practices highly advantageous.
  5. Significantly demonstrated impact that your engineering work has had on the product and/or the teams
  6. Have led projects from a technical perspective and have provided support to more junior engineers.
  7. PhD or other research level experience highly advantageous.

Please note, the role will most likely involve relocating to a EU based location and compensation will be provided for any relocation costs.

Apply now

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