AI Engineer
LUZA Group Portugal Mafra
Job Title: AI Engineer Location: Mafra, Portugal Work Regime: Full-time & Hybrid Overview / Summary: We are looking for a highly skilled and motivated AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions to address complex business challenges.
You will collaborate with cross-functional teams to build AI models, algorithms, PoCs, and MVPs, contributing directly to the evolution of AI-driven products. The ideal candidate has a strong background in LLMs (e.g., GPT), machine learning, deep learning, and data analysis, combined with excellent programming skills and a passion for innovation.
Responsibilities and Tasks: Collaborate with cross-functional teams to identify business needs and opportunities where AI can generate value. Design and develop Proofs of Concept (PoCs) using ML and DL techniques to assess feasibility and potential business impact.
Evaluate PoCs regarding accuracy, scalability, and computational efficiency. Gather stakeholder feedback and iterate on PoCs to address requirements and optimize value. Analyze PoC results to identify the most promising concepts to advance into productization.
Translate validated PoCs into Minimum Viable Products (MVPs) in collaboration with software engineers and data scientists. Optimize and fine-tune AI models to meet performance criteria and business objectives. Conduct testing and validation to ensure MVP stability, reliability, and usability.
Collaborate with product teams to integrate AI capabilities into existing systems or new applications. Stay updated on AI trends, technologies, and best practices, applying this knowledge to drive innovation. Document methodologies, processes, and results, creating clear and comprehensive reports for stakeholders.
You will collaborate with cross-functional teams to build AI models, algorithms, PoCs, and MVPs, contributing directly to the evolution of AI-driven products. The ideal candidate has a strong background in LLMs (e.g., GPT), machine learning, deep learning, and data analysis, combined with excellent programming skills and a passion for innovation.
Responsibilities and Tasks: Collaborate with cross-functional teams to identify business needs and opportunities where AI can generate value. Design and develop Proofs of Concept (PoCs) using ML and DL techniques to assess feasibility and potential business impact.
Evaluate PoCs regarding accuracy, scalability, and computational efficiency. Gather stakeholder feedback and iterate on PoCs to address requirements and optimize value. Analyze PoC results to identify the most promising concepts to advance into productization.
Translate validated PoCs into Minimum Viable Products (MVPs) in collaboration with software engineers and data scientists. Optimize and fine-tune AI models to meet performance criteria and business objectives. Conduct testing and validation to ensure MVP stability, reliability, and usability.
Collaborate with product teams to integrate AI capabilities into existing systems or new applications. Stay updated on AI trends, technologies, and best practices, applying this knowledge to drive innovation. Document methodologies, processes, and results, creating clear and comprehensive reports for stakeholders.
Provide mentorship and technical guidance to junior AI engineers, fostering knowledge sharing within the team.
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