[HN/HCM] AI Engineer

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Cinnamon AI

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Job Summary


Job Type
-

Seniority
Junior

Years of Experience
Information not provided

Tech Stacks
Container AWS Docker Go CI PyTorch Azure Python

Job Description

Location: Hanoi/ Hochiminh City

  • HN Office: 36 Hoang Cau street, Dong Da district, Hanoi
  • HCM Office: The Hub Building, 195/10E, Dien Bien Phu street, ward 15, Binh Thanh district, Ho Chi Minh city

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About us

Established in 2012 and headquartered in Tokyo, Cinnamon AI is a global enterprise specializing in intelligent document processing technology. Our cutting-edge solutions automate the extraction of knowledge from unstructured documents, primarily serving Insurance, Manufacturing & Logistic industries. We are fundamentally reshaping the way businesses operate, offering unprecedented efficiency and performance improvements. To date, we have effectively implemented our solutions for over 100 clients, securing an annual total contract value of around USD 10 million. Our reputation is growing steadily, as demonstrated by our selection as one of the 'Global 100 Most Potential AI Startups' by CB Insights in 2021, and made it to the list of 'Top 100 AI Fintech Companies' in the 2023 & 2024 report by FinTech Global and Investor Networks.


Position Description

As the AI Researcher, we are looking for members to join our AI team. You will work closely with all stakeholders to architect efficient APIs to survey latest research trend and build accurate models on various tasks. This is an exciting opportunity for those who enjoy R&D and be challenged and grow in the field of AI-First software / product development. Along the way this role will contribute to game-changing products for the multi-trillion-dollar industry.


Responsibilities and Performance Objectives

  • Design, develop, and deploy advanced AI-powered solutions in collaboration with cross-functional teams, ensuring alignment with business goals and technical standards.
  • Development of a Retrieval-Augmented Generation (RAG) platform with product team.
  • Architect and implement scalable, robust AI systems capable of handling extensive data volumes and user interactions.
  • Apply expertise in machine learning, deep learning, and other AI methodologies to develop high-performance models and algorithms.
  • Enhance AI system efficiency by optimizing resource usage, integrating cloud solutions, and employing hardware acceleration.
  • Perform detailed performance analysis and tuning to guarantee AI systems' optimal functionality in production settings.
  • Establish and maintain monitoring, logging, and alerting frameworks to proactively address performance issues and anomalies.
  • Work closely with DevOps and infrastructure teams to streamline AI system deployment, scaling, and management using automation techniques.
  • Keep abreast of the latest developments in AI, machine learning, cloud services, and related technologies.
  • Mentor junior engineers and drive the continuous enhancement of engineering processes and practices.

Skills and Experience Required

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related discipline.
  • At least 2 years of experience in software development, specializing in AI-powered applications and systems.
  • Proficiency in Python and deep learning frameworks like PyTorch.
  • Proven track record in designing and deploying scalable, distributed systems for AI applications.
  • In-depth knowledge of cloud platforms (e.g., AWS, Azure, GCP) and container technologies (e.g., Docker, Kubernetes).
  • Practical experience with performance optimization techniques, including parallel computing and caching.
  • Familiarity with DevOps methodologies and tools for efficient CI/CD processes.
  • Excellent problem-solving capabilities and experience troubleshooting complex issues in production environments.
  • Strong communication and teamwork skills, suited for a fast-paced and dynamic work setting.
  • Demonstrable understanding of LLMs and Retrieval-Augmented Generation technologies.

Plus:

  • Understanding of edge computing and the deployment of AI models in resource-limited settings.
  • Knowledge of security practices for AI systems and data privacy laws.
  • Contributions to open-source projects or academic publications in relevant fields.


What we will return

  • A high-tech spaceship with a laptop provided. GPU and AWS all are ready for model training.
  • A hybrid work schedule: 02 remote working days per week.
  • A wide range of internal community events to promote connections, collaboration, and a healthy work-life balance, including Happy Monday, Company Trip, and 10++ Health Clubs.
  • Talent development and innovation encouragement through our internal programs.
  • A great opportunity to access and acquire top expert knowledge and experiences internally and externally.
  • A competitive salary range, private healthcare insurance, annual health check.
  • Our Cinnamon Values

    #Collaboration with Humanity: We prioritize “The happiness of interacting with people” throughout the entire organization, going beyond ‘Transactional Interaction’ and strive for the ultimate comfort in collaboration with others. This makes our workplace become the driving force towards achieving high goals.


    #Impact at Scale: By keeping technical scalability at core of our innovation, we do not stop at “Making things slightly better”. We aim to “Create huge impacts” by transforming large companies’ operations with versatile and scalable technology.


    #Ultimate Value for Partners: By understanding partners’ unique needs, complex challenges, and ambitious vision, we go beyond fulfilling contractual obligations to exceed expectations, co-creating solutions that deliver true sustainable value for their long-term growth.

    **For more information

    1. Website: https://cinnamon.ai/
    2. Facebook Fanpage: https://www.facebook.com/cinnamonai/
    3. Brief Introduction: bit.ly/CinnamonAI_Introduction



    Privacy Notice: When sending your job application to us, you are acknowledging that you have read, understood, and fully agreed with Cinnamon Lab’s Privacy Policy and Privacy Notice for Applicants. By doing so, you are allowing us to collect, store, use, and transfer the personal data received from you to the extent it is necessary and following the applicable law.


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