VMO ★ 3.5

Build cutting-edge AI platforms and reusable MLOps products with a small team of experts.
Design, develop, and support scalable AI products using the latest tools and techniques.
Explore and develop with cutting-edge open-source technologies like K8s, Kafka, and MLFlow.
We use modern development practices:
Agile methodologies (Scrum & MLOps)
Continuous integration and delivery (CI/CD)
Micro-service architecture
Tools like Git, Jenkins, and DockerProfound knowledge of advanced cloud platforms (AWS, Azure, GCP, Alibaba Cloud)
At least 3 years of hands-on experience as software engineer with Exceptional development skills
Proven previous work experience as a Python Developer and practical experience with key Python frameworks
Experience with containerized environments and microservices (Docker, Kubernetes)
Proven Experience with SQL/NoSQL DBs, Kafka, Elasticsearch and other Big Data technologies
Academic degree in Mathematics, Computer Science, SW Engineering, or a related field
Proven Experience with SQL/NoSQL DBs, Kafka, Elasticsearch and other Big Data
Ability to communicate in English (writing: fluent, speaking: advanced)
Preferred skills and qualifications (An advantage):
Experience in working with models using ML/DL/GenAI techniques and tools such as PyTorch or TensorFlow
Experience in developing software within a distributed computation frameworks such as Spark.
Experience working in Cloud environments (AWS, Azure etc.)
Experience with other programming languages such as Java, Scala or GO
Familiarity with front-end technologies, such as JavaScript, HTML5, and CSS3Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
Bonuses for the 13th month of employment, project bonuses, and company, Tet holiday, September 2, company birthday, ...
Holiday travel mode (package 5-7 millions/person), team building (2-3 times/year).
Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.