ML Engineer

Job description

Position: ML Engineer

Responsibilities:

Model Deployment & Optimization

• Deploy and maintain vision and language models on cloud platforms (AWS/GCP)
• Optimize model performance through techniques like quantization and pruning
• Implement and deploy various types of models including computer vision and LLM-vision models
• Design and maintain CI/CD pipelines for model deployment
• Ensure robust model serving in production environments MLOps & Monitoring
• Set up comprehensive model monitoring systems
• Implement data drift detection and monitoring
• Design and maintain model performance dashboards
• Establish automated retraining pipelines
• Monitor and optimize cloud resource usage Collaboration & Development
• Work closely with Data Scientists to productionize models
• Collaborate with drone operations teams to understand field requirements
• Contribute to the improvement of our asset integrity management platform
• Participate in technical design discussions and architecture planning
• Document technical processes and maintain knowledge base

Qualifications:

Knowledge and Experience

• 1+ years of experience in Machine Learning Engineering
• Solid understanding of data drift concepts and solutions
• Experience with model optimization techniques (quantization, pruning)
• Knowledge of vision-language models and their deployment
• Experience with large language models (LLMs) deployment
• Understanding of computer vision principles and applications
• Experience working with limited or imbalanced datasets Technical Skills
• Strong programming skills in Python and related ML frameworks
• Experience with deep learning frameworks (PyTorch, TensorFlow)
• Proficiency in cloud platforms (AWS/GCP) and their ML services
• Knowledge of Docker and container orchestration
• Experience with ML monitoring tools and practices
• Understanding of MLOps principles and practices Core Competencies
• Strong problem-solving and analytical skills
• Excellent communication abilities in Thai and English
• Ability to work independently and as part of a team
• Project management and organizational skills
• Commitment to maintaining high safety and quality standards Preferred Qualifications
• Knowledge of edge computing and model optimization for edge devices
• Experience with real-time video processing
• Familiarity with industrial inspection use cases
• Background in computer vision or related field
• Experience with few-shot learning and transfer learning