Senior Machine Learning
Senior Machine Learning
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Job Description
Hiire ishelping CEGID a Europeanleader in cloud business management hire a Senior Machine Learning Engineerto defineML best practices and build and deploy ML model pipelines for a range of their products.
About the Role
CEGID seeks a Senior Machine Learning Engineer to join theirArtificial Intelligence Center of Expertise (CoE). In this role you will be responsible for embedding Artificial Intelligence into CEGIDs management software products portfolio.
Youll be working within the AI Factorydedicated to advancing CEGIDs management software through AI innovation. The primary goal is to seamlessly integrate AI features into the product line either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.
What Youll Do
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 uptodate with the latest developments in machine learning and artificial intelligence.
What Were Looking For
Bachelors or Masters in Computer Science Engineering or related field;
5 years in machine learning engineering or software development;
Proficient in Python with experience in machine learning frameworks like TensorFlow PyTorch or Scikitlearn;
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.
It would be a plus if you have:
Experience with Azure stack Generative AI frameworks Agile or Kanban methodologies and containerization technologies like Docker and Kubernetes.
Why Join Our Client
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.
Ready to take the next step Apply now and helpshape your future ours and our clients industries future!
Employment Type
Full Time
