Machine Learning Engineer

HungryHub is a fast-growing startup revolutionizing the restaurant industry in Thailand and Southeast Asia. We provide innovative dining experiences through our cutting-edge platform, connecting customers with exceptional food experiences while helping restaurants optimize their operations. We are embarking on an exciting journey to integrate AI-driven features such as menu automation, dynamic pricing, and personalized content recommendations to enhance customer satisfaction and operational efficiency.

To accelerate our roadmap of menu automation, dynamic pricing, and personalized content, we are prioritizing rapid deployment of pre-trained models and managed platforms like Databricks. Join us to lead high-impact AI integration projects that leverage cutting-edge infrastructure without reinventing the wheel.

Responsibilities

• Integrate and implement AI solutions using existing models from OpenAI, DeepSeek, and other providers to build menu automation, dynamic pricing, and personalized recommendation features
• Design and develop data pipelines in Databricks to prepare and process restaurant and customer data for AI model consumption
• Fine-tune and optimize third-party AI models to meet specific business requirements and performance targets
• Set up monitoring systems to track model performance and implement improvements as needed
• Collaborate with backend engineers to integrate AI solutions into our production systems
• Evaluate and recommend the most suitable AI services and models for different use cases based on performance, cost, and scalability
• Create comprehensive documentation for all AI implementation and integration processes
• Work closely with product and business teams to translate business requirements into technical solutions
  
  

Requirements

Must-Have:

• Bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or related field
• 1+ years of professional experience in AI/ML integration and deployment
• Strong experience with AI APIs and services, particularly OpenAI, DeepSeek, or similar platforms
• Proficiency with Databricks and its ecosystem, including Apache Spark and MLflow
• Strong programming skills in Python and experience with data processing libraries
• Experience with deploying and monitoring AI solutions in production environments
• Knowledge of data preprocessing, feature engineering, and model evaluation
• Familiarity with natural language processing (NLP) and recommendation systems
• Excellent problem-solving and analytical thinking skills
• Strong communication skills and ability to work in a collaborative environment
  
  

Nice-to-Have

• Experience with Retrieval-Augmented Generation (RAG) architectures for building AI applications
• Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment
• Experience with Docker, Kubernetes, or other containerization technologies
• Familiarity with CI/CD pipelines for AI/ML workflows
• Previous work in the restaurant or food service industry
• Understanding of UI/UX principles for AI-driven applications
  
  

Benefits

• Competitive salary based on experience and skills
• Performance bonuses and incentives
• Health insurance coverage
• Professional development opportunities and training budget
• Flexible work arrangements
• Modern office environment with necessary tools and resources
• Regular team building activities and events
• Opportunity to create real impact in a growing industry