AI Engineer

SKY ICT Public Company Limited (Bangkok)

Bangkok

Bangkok, Thailand

We are the Professional Solution Integrator providing IT enabled business solutions with direct support coverage across the country and all boundary areas. Our team combines Expertise and Multi-Vendor skilled People with a mix of Core Competencies, Key Strategic Partnerships and alliances, Broad experience in managing projects from largo to small, Proven ability to minimize Technical, Operational and Financial risks in complex projects, Multi-Skilled and Business-Critical Technology Solutions.

Detail posisi

The AI Engineer will deploy, optimize, and maintain machine learning models for AI solutions. This role involves collaboration with data engineers and scientists to ensure data availability, model development, and integration into AI solutions. Responsibilities also include troubleshooting, documenting models, and working with cloud platforms.

Kewajiban

• Deploy machine learning models for our AI solutions
• Collaborate with data engineers and data scientists to ensure that data is available and accessible for model development and deployment
• Optimize machine learning models for accuracy, efficiency, and scalability
• Develop and maintain code for model training, testing, and deployment
• Work closely with other teams to integrate machine learning models into our AI solutions
• Monitor and troubleshoot machine learning models to ensure accuracy and performance
• Develop and maintain documentation for machine learning models and code

Kualifikasi

• Master's degree in Machine Learning, Computer Science, Applied Artificial Intelligence, or a related field
• 2+ years of backend or infrastructure experience
• 2+ years of hands-on experience in one or more of the following areas: machine learning, deep learning, machine learning infrastructure, data infrastructure
• Proven experience deploying ML models and implementing the full lifecycle of model development.
• Strong programming skills in Python, and machine learning libraries such as Pandas, as well as Jupyter Notebooks
• Experience with PyTorch, TensorFlow and/or natural language processing using NLTK, spaCy, etc
• Machine Learning expertise in Object detection, OCR and/or NLP ranking, recommendations, classification algorithms
• Familiarity with cloud computing platforms such as Google Cloud, Azure, or AWS
• Experience working with RAG technologies such as LLM frameworks (Langchain or LLamaIndex), LLM model registries, embedding models, prompting techniques, and vector databases.
• Experience with Kubernetes/Container resources for deployments
• Experience in building AI/ML solutions and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment (GCP, Azure, AWS)