Machine Learning Engineer

Há 2 dias

Braga, Portugal Cegid Tempo inteiro

Cegid is a European leader in cloud business management solutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors. In today’s rapidly changing world, Cegid & its 5,000 employees make 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 to shape 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 Factory is 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 our Artificial Intelligence Center of Expertise (CoE). In this role, you will be responsible for embedding Artificial Intelligence into 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 Senior Machine Learning Engineer, you will:

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 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 up-to-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 TensorFlow, PyTorch, 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.
We are not just looking for professional skills, we're also looking for talents who want to express their potential and open up new possibilities with us Above all, it's your curiosity, team spirit and sense of customer service that will make the difference.
Our commitment
At Cegid, the diversity of our talents is a wealth we cherish, by recruiting based on your skills and your potential to learn and grow with us. We offer you a professional environment where each person can thrive and express their uniqueness. Our commitment is based on three fundamental pillars: gender equality, inclusion of people with disabilities, and representation of all diversities.
Our benefits

Attractive and transparent remuneration from recruitment
Annual bonus based on the achievement of 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
Integration into a dynamic, enthusiastic, and constantly growing team

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