The AI Engineer designs and builds intelligent systems that power
Tranzitech's 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
Python, .Net, 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.