The AI Engineer designs and builds intelligent systems that power Tranzitechs product innovation. This role is pivotal in bringing AI and machine learning capabilities into R&I test projects ranging from smart process automation to intelligent product features and generative AI applications.

Principal Responsibilities and Accountabilities

AI Development

• Build ML models and AI-powered apps for prototype testing.
  
• Develop NLP engines recommendation systems and automation tools.
  
• Integrate trained AI models into web and mobile platforms.
  

Research & Experimentation

• Experiment with new AI techniques and evaluate emerging tech.
  
• Build and evaluate models for specific business use cases.
  
• Explore generative AI applications for internal and external tools.
  

Tranzitech Research & Innovation Framework

• Build efficient data pipelines for model training and inference.
  
• Prepare clean and augment datasets for high-quality model output.
  
• Ensure model reliability scalability and performance in production
  

What Success Looks Like

1 AI-powered feature deployed/year

Production-ready documented models

Measurable benefit from AI integration

Essential Competencies and Skills

Programming skills.

Machine Learning & AI Knowledge

Data Handling & Engineering.

System Design & Architecture.

AI Ethics & Governance.

Requirements

BSc in CS AI Data Science Engineering or Math.

1-4 years experience (Junior to Mid-level).

Proficient in TensorFlow PyTorch or Scikit-learn.

Experience with NLP API development and model deployment.

Strong understanding of data structures and algorithms.

Strong communication and relationship management skills.

Benefits

A collaborative and dynamic work environment.

Opportunities to work on high-profile and innovative projects.

Competitive salary and benefits package.