AI Engineer

• Develop, implement, and maintain AI systems
  

• Develop algorithms and build predictive models
  

• Ensure quality and accuracy of training data​
  

• Deploy and maintain AI models in production
  

• Transform machine learning models into APIs that can be integrated with other applications
  

• Collaborate with Data Engineers to build and manage data pipelines for AI/ML workflows
  

• Work with AI Architects to ensure AI solutions meet business requirements and quality attributes
  

Requirements

• Experience designing, developing, and deploying enterprise-grade AI/ML solutions, with a strong emphasis on production ready systems
  
• Expert-level proficiency in Python and core AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), with a deep understanding of machine learning algorithms and deep learning architectures
  
• Hands-on experience architecture and building secure, scalable, and flexible enterprise data projects in Azure, AWS or GCP
  
• Effective communication skills (verbal, written, presentation/public speaking)
  
• Strong analytical and problem-solving skills
  
• Ability to work effectively with international and multicultural teams and with all levels of management
  

• Describe your AI development experience and projects
  
• Tell us why you are interested in joining Suzega
  

• We will review applications
  
• If shortlisted, you'll participate in two virtual interviews with our Trusted Interviewers
  
• You will have to go through a coding interview
  
• We will aim to complete our selection process within two weeks and notify you of our decision
  

At Suzega, we're not just building better AI—we're thinking about how AI can work better with people and society. Are you ready to help shape what AI can and should do? Do you want to use your technical skills to make a real difference?

If so, we'd love to hear from you.

This is more than a job. It's a chance to shape the future.

Benefits