Chief Artificial Intelligence Architect
Lead ML Developer
You will be responsible for designing, rolling out, and optimizing our machine learning platform. This includes model serving, feature management, training pipelines, and evaluation frameworks.
The position requires 7+ years of experience in developing and deploying ML models or Generative AI, with a proven track record of successful production deployments.
We are looking for someone who is familiar with MLOps best practices, including CI/CD for ML, model monitoring, and automated retraining pipelines.
The ideal candidate should have a deep understanding of Large Language Model (LLM) systems, Gen
AI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.
About the Role - style='list-style-type:disc'>This is a key position within our engineering team, requiring strong technical expertise and excellent communication skills. - style='list-style-type:disc'>Responsibilities include leading the design, rollout, and optimization of ML Platform components. - style='list-style-type:disc'>Developing and implementing strategies to improve the efficiency and scalability of our AI-driven experiences. - style='list-style-type:disc'>Fostering a culture of technical excellence, inclusion, and mentorship within the engineering team. Key Requirements - style='list-style-type:disc'>7+ years of
- on experience developing and deploying ML models or Generative AI, with a proven track record of successful production deployments. - style='list-style-type:disc'>Familiarity with MLOps best practices, including CI/CD for ML, model monitoring, and automated retraining pipelines. - style='list-style-type:disc'>Deep understanding of LLM systems, Gen
AI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools. Preferred Qualifications - style='list-style-type:disc'>Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks.
Key Requirements - style='list-style-type:disc'>7+ years of
- on experience developing and deploying ML models or Generative AI, with a proven track record of successful production deployments. - style='list-style-type:disc'>Familiarity with MLOps best practices, including CI/CD for ML, model monitoring, and automated retraining pipelines. - style='list-style-type:disc'>Deep understanding of LLM systems, Gen
AI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools. Preferred Qualifications - style='list-style-type:disc'>Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks.
- on experience developing and deploying ML models or Generative AI, with a proven track record of successful production deployments.
AI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.
Preferred Qualifications - style='list-style-type:disc'>Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks.
- Informações detalhadas sobre a oferta de emprego
Empresa: beBeeMachineLearning Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 14. 9. 2025
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