AI Engineer

• 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.
  

Requirements

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence Mathematics or a related field.
  
• Proven experience as an AI Engineer Machine Learning Engineer or similar role.
  
• Hands-on experience designing training and deploying ML/DL models and working with LLMs.
  
• Experience converting PoCs into MVPs and deploying scalable AI solutions (preferred).
  
• Strong problem-solving abilities and ability to translate business needs into technical solutions.
  
• Excellent communication and teamwork skills for effective collaboration with cross-functional teams.
  
• High attention to detail.
  
• Self-driven proactive and motivated to continuously learn and explore emerging technologies.
  
• Proficiency in English (written and spoken).
  
• Portuguese is a plus.
  
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• Solid understanding of ML/DL techniques LLMs and frameworks: TensorFlow PyTorch Keras LangChain.
  
• Proficiency in Python and Java and experience with key data libraries (NumPy pandas Matplotlib).
  
• Knowledge of big data and distributed computing frameworks is a plus: Hadoop Spark.
  
• Familiarity with cloud platforms and their AI services: AWS Azure or Google Cloud.
  

Benefits

• Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
  
• Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.