Renova Cloud is a leading provider of Cloud Computing, DevOps, and AI Solutions in Vietnam. As the AWS Partner of the Year for both 2023, 2024 and 2026 we bring together a highly skilled team of cloud architects, AI/data engineers, and DevOps professionals. We specialize in helping enterprises modernize their workloads, accelerate cloud adoption, and embrace the next generation of AI and automation technologies.
In July 2025, Renova Cloud signed a Strategic Collaboration Agreement (SCA) with AWS (Amazon Web Services) to accelerate the adoption of Generative AI in Vietnam. Following this, we officially launched the Renova AI Factory — a dedicated innovation hub in Ho Chi Minh City designed to incubate and scale GenAI workloads, enabling enterprises to co-create real-world solutions with our experts.
About Job
1. Responsibilities
- Data Pipeline Development: Designing, building, and maintaining scalable data transformation, ingestion, and storage pipelines to support AI and machine learning applications.
- AI Model Deployment: Collaborating with data scientists and AI engineers to deploy machine learning and AI models into production environments.
- Infrastructure Automation: Automating AI infrastructure to streamline development workflows for data scientists and AI engineers.
- Model Development & Integration: Assisting in building AI models from the ground up, transforming machine learning models into APIs, and integrating them with other systems for real-world applications.
- Statistical Analysis: Conducting statistical analysis to interpret model results and inform business decisions.
- AI Experimentation: Running experiments and tests for machine learning models and AI applications, ensuring optimal performance.
- Collaboration: Partnering with cross-functional teams, including electronics and robotics departments, to integrate AI solutions effectively.
- System Maintenance: Monitoring and retraining systems to ensure continuous improvement and alignment with evolving business goals.
- Stakeholder Communication: Translating complex AI outcomes into actionable insights for business users and stakeholders.
2. Qualifications
Educational Background:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
Technical Expertise:
- Extensive experience in building data pipelines and deploying AI/ML models into production environments, particularly RAGs, generative AI and agentic platforms.
- Proficiency in programming languages such as Python, Java, C++, or R.
- Strong knowledge of statistics, calculus, and probability for algorithm development and model evaluation.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
Cloud Experience:
- Expertise in cloud services (e.g., AWS, Azure, or Google Cloud) with at least 2 years of experience in deploying AI models.
AI Specializations:
- Familiarity with natural language processing, computer vision, and common AI model architectures, generative AI and agentic AI.
- Experience in transforming AI models into APIs for integration with other systems.
Additional Skills:
- Solid understanding of data engineering practices, including ETL, feature engineering, and data preprocessing.
- Ability to work collaboratively in an agile and fast-paced environment.
- Strong problem-solving and communication skills.
- Demonstrated ability to run AI experiments and optimize performance through testing.
What we offer:
- 13th-month salary and attractive performance bonuses.
- Premium Healthcare and Accident insurance.
- Free parking and allowances: Lunch, Marriage, Newborn baby and others are applied.
- A spacious pantry fully equipped with a coffee maker, fridge, microwave, snacks, milk , tea and more
- A wide range of sports and social activities: badminton, tech clubs, etc.
- Chance to be honored quarterly and annually with recognition awards for individuals,
- teams, long-term service, etc.
- Engaging events: annual company trips, team buildings, internal events, Company's Yearend party.
