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Career
ML Engineer
Data Analytics / Full time
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
Be a part of our journey in shaping tomorrow
Apply Now