Machine Learning Engineer - AI Factory - F/M/NB Lisboa

Machine Learning Engineer - AI Factory - F/M/NB
Lisboa
Lisboa, Lisboa, Portugal

Machine Learning Engineer - AI Factory - F/M/NB

Join to apply for the Machine Learning Engineer - AI Factory - F/M/NB role at Cegid

Machine Learning Engineer - AI Factory - F/M/NB

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Cegid is a European leader incloud business managementsolutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors. In today’s rapidly changing world, Cegid & its5, 000 employeesmake more possible by helping their 750, 000 customers unleash their potential thanks to innovative and purposeful business solutions.

Make more possible, is our vocation. It reflects who we are, how and why we do things the way we do them for our clients. Thanks to this, we can affirm that we work every day toshape your future, ours and our clients’ industries’ future. A future we have been defining for years with our employees, by inventing solutions that change the way people work, for a sustainable performance.

@AI Factory

The
AI Factoryis dedicated to advancing our management software through
AI innovation. Our primary goal is to seamlessly integrate AI features into our product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.

What will you achieve?

CEGID is seeking a Senior Machine Learning Engineer to join ourArtificial Intelligence Center of Expertise(Co
E). In this role, you will be responsible forembedding Artificial Intelligenceinto CEGID's management software products portfolio. Specifically, this role will be responsible for defining ML best practices, building and deploying ML models pipelines for a range of our products.

As a Machine Learning Engineer, you will:

• Build and maintainmachine learning pipelinesto 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 different 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
  -
  - date with the latest developments in machine learning and artificial intelligence.
  
  

Educational and Experience Requirements: Bachelor's or Master's in Computer Science, Engineering, or related field; 2+ years in machine learning engineering or software development;

Technical Skills: Proficient in Python, with experience in machine learning frameworks like Tensor
Flow, Py
Torch, or Scikit-learn; strong expertise in building and maintaining ML models and pipelines;

MLOps and Cloud Knowledge: Strong knowledge of MLOps and LLMOps concepts, with experience in cloud computing platforms, preferably Azure;

Communication and Collaboration: Strong communication and collaboration skills;

Preferences: Experience with Azure stack, Generative AI frameworks, Agile or Kanban methodologies, and containerization technologies like Docker and Kubernetes.

Cegid is a European leader incloud business managementsolutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors. In today’s rapidly changing world, Cegid & its5, 000 employeesmake more possible by helping their 750, 000 customers unleash their potential thanks to innovative and purposeful business solutions.

Make more possible, is our vocation. It reflects who we are, how and why we do things the way we do them for our clients. Thanks to this, we can affirm that we work every day toshape your future, ours and our clients’ industries’ future. A future we have been defining for years with our employees, by inventing solutions that change the way people work, for a sustainable performance.

@AI Factory

The
AI Factoryis dedicated to advancing our management software through
AI innovation. Our primary goal is to seamlessly integrate AI features into our product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.

What will you achieve?

CEGID is seeking a Senior Machine Learning Engineer to join ourArtificial Intelligence Center of Expertise(Co
E). In this role, you will be responsible forembedding Artificial Intelligenceinto CEGID's management software products portfolio. Specifically, this role will be responsible for defining ML best practices, building and deploying ML models pipelines for a range of our products.

As a Machine Learning Engineer, you will:

• Build and maintainmachine learning pipelinesto 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 different 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
  -
  - date with the latest developments in machine learning and artificial intelligence.
  
  

• Educational and Experience Requirements: Bachelor's or Master's in Computer Science, Engineering, or related field; 2+ years in machine learning engineering or software development;
• Technical Skills: Proficient in Python, with experience in machine learning frameworks like Tensor
  Flow, Py
  Torch, or Scikit-learn; strong expertise in building and maintaining ML models and pipelines;
• MLOps and Cloud Knowledge: Strong knowledge of MLOps and LLMOps concepts, with experience in cloud computing platforms, preferably Azure;
• Communication and Collaboration: Strong communication and collaboration skills;
• Preferences: Experience with Azure stack, Generative AI frameworks, Agile or Kanban methodologies, and containerization technologies like Docker and Kubernetes.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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