ML/AI Engineer
# ML/AI Engineer **Gosoft(Thailand)Co.,Ltd.** · Thailand · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Engineer]` `[AI-Engineer]` `[Data-Engineer]` `[Backend-Engineer]` `[Software-Engineer]` `[AI-ML-Engineer]` `[AI-ML-Software-Engineer]` `[ML-Software-Engineer]` --- ### About the Role Job Description: - Design, code, train, test, deploy, and iterate on large-scale, distributed machine learning systems. - Collaborate with a multi-functional agile team of data science, UX / UI design, product management, and engineering to build new features / products /services that delight our customers. - Work with data scientists and data engineers to create end-to-end machine learning feedback loop and integrate it into various applications. - Improve existing machine learning models both in terms of model performance and computing performance. - Help drive code review, optimization, testing, and tooling to improve code quality and system reliability. - Research and implement best practices to enhance existing machine learning infrastructure and process. - Be part of an active group of data science and machine Learning practitioners that shape the direction of machine learning and artificial intelligence of the organization. Qualifications: - BS (or higher, e.g., MS, or PhD) in Computer Science, Computer Engineering orrelated technical fields involving Machine Learning or equivalent technical experience - Strong analytical and problem-solving skills - Proven software development skills in multiple programming languages (e.g., Python, Golang, C++) - Experience with machine learning software packages (e.g., scikit-learn, XGBoost, TensorFlow, Caffe, Theano, Torch) - Familiarity with container-based technologies (e.g., Docker, Kubernetes) and DevOps practices (e.g., code review, automated testing, CI / CD, logging, performance monitoring) - Strong communication skills & collaborative mindset - Experience with data processing tools (e.g., Hadoop, Apache Spark, Apache Beam) and Cloud platforms (e.g., AWS, Azure, GCP) considered a plus Originally posted on Himalayas
- Machine-Learning-Engineer
- AI-Engineer
- Data-Engineer
- Backend-Engineer
- Software-Engineer
- AI-ML-Engineer
- AI-ML-Software-Engineer
- ML-Software-Engineer
Наблюдалась 2026-10-14, впервые 2026-10-14, источник — Himalayas (JSON API).