Machine Learning Infrastructure Specialist

Há 6 dias


Braga, Braga, Portugal TN Portugal Tempo inteiro

We are TN Portugal, a global recruitment company with offices in Estonia and Cyprus. Our mission is to empower tech talent and help companies find the best professionals.

As a Senior Machine Learning Engineer at CEGID, you will play a key role in defining ML best practices and building deployable model pipelines for their management software products.

About the Role

Cegid seeks an experienced Senior Machine Learning Engineer to join their AI Center of Expertise (CoE). In this position, you will be responsible for integrating Artificial Intelligence into Cegid's management software portfolio.

You will work within the AI Factory, advancing Cegid's management software through AI innovation, seamlessly integrating AI features into the product line by enhancing functionality, user experience, or recreating workflows to take full advantage of AI technology.

Your Key Responsibilities
  • Build and maintain machine learning pipelines to deploy and maintain models in production.
  • Implement MLOps and LLMOps concepts to streamline the machine learning lifecycle.
  • Develop and maintain scalable, robust, and efficient machine learning infrastructure.
  • Collaborate with data science teams to understand model requirements and ensure successful integration into software products.
  • Communicate with stakeholders such as data scientists, software engineers, and cloud architects to ensure models are deployed and monitored in production environments according to best practices.
  • Troubleshoot and resolve technical issues related to machine learning models and infrastructure.
  • Stay up-to-date with the latest developments in machine learning and artificial intelligence.
Requirements

We are looking for a highly skilled professional with:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in machine learning engineering or software development.
  • Proficiency in Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Strong expertise in building and maintaining ML models and pipelines.
  • Strong knowledge of MLOps and LLMOps concepts, with experience in cloud computing platforms, preferably Azure.
  • Strong communication and collaboration skills.
What We Offer

At Cegid, we offer a dynamic and growing team environment with opportunities for career advancement. You can expect:

  • Attractive remuneration from recruitment.
  • Annual bonus based on individual and company goals.
  • Hybrid work model and flexible working hours.
  • 25 days of vacation per year.
  • Health insurance.
  • Access to online learning platforms and internal academy.


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