Chief Technology Officer (AI Lab)
Cầu Giấy, Vietnam
Company Description
About Applied AI Lab Applied AI Lab is an AI adviser and solution provider operated as part of the Verysell Group of companies. With a team of 25 professionals across sales, delivery, and operations, including 13 skilled AI/ML engineers, we have been delivering impactful AI solutions for almost 2 years both internally to the group companies and to external clients. As an NVIDIA AI Consulting Partner, we leverage NVIDIA technologies to deliver high-performance AI solutions. We also support sales of SmartDev – a Vietnam-based ITO company with over 5 million USD turnover as an AI competence and delivery center. Applied AI Lab's commercial team, located in London, is focused on the European market. As we continue to grow, we seek a visionary Vietnam-based CTO to run the technical team and drive our technological and innovation strategies.
Job Description
Position Overview The CTO will drive the company’s technology vision and ensure innovation aligns with business goals. This strategic role combines leadership, technical expertise, and taste with innovation. The successful candidate will manage the AI Lab’s engineering team, oversee project delivery, and shape the technical competence to solidify Applied AI Lab as a leading AI solutions integrator and provider of AI-related services.
Key Responsibilities
Technical Leadership
- Define and execute the company’s AI/ML and software development strategy.
- Stay at the forefront of AI advancements, integrate cutting-edge technologies into the company’s solutions, and strongly emphasize NVIDIA technologies and approaches.
- Ensure scalable and maintainable architecture across all projects.
- Guide AI/ML engineers in the research and development of algorithms, models, and systems.
Team Development and Management
- Lead, mentor, and inspire a team of AI/ML engineers and technical staff.
- Foster a culture of continuous learning, collaboration, and innovation.
- Identify skills gaps and implement training programs to ensure a high-performing team.
- Collaborate with HR to attract top technical talent.
Strategic Planning and Execution
- Collaborate with the CEO and leadership team to align technical initiatives with business objectives.
- Develop (or Evaluate) a roadmap for new products, services, and AI solutions.
- Evaluate and implement emerging technologies, including NVIDIA frameworks, to maintain a competitive edge.
- Establish and monitor technical KPIs to measure success and improvement areas.
Client Engagement and Delivery
- Oversee the design, development, and deployment of AI solutions for clients.
- Ensure timely and quality delivery of projects, meeting or exceeding client expectations.
- Provide technical expertise in pre-sales engagements and client pitches.
- Act as a trusted technical advisor for clients and partners.
Innovation and R&D
- Drive research initiatives to explore new applications of AI and ML.
- Manage intellectual property and ensure effective commercialization of research outputs.
- Develop proof-of-concept projects to showcase the company’s capabilities, leveraging NVIDIA technologies when applicable.
Governance and Compliance
- Ensure compliance with industry standards, data protection laws, and ethical AI practices.
- Establish and maintain best practices in software development and deployment.
- Conducted risk assessments for technical projects and ensured mitigation strategies were followed.
Competency Management
- Define and develop technical competencies across the AI/ML engineering team to meet current and future business needs.
- Establish frameworks for evaluating and enhancing team skills and capabilities.
- Ensure the team adopts best practices and the latest industry standards.
- Support cross-departmental knowledge-sharing initiatives to enhance organizational expertise.
Qualifications
Essential:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- 5+ years of experience in AI/ML, data science, or software development, with at least 2 years in a leadership role.
- Proficiency in English and Vietnamese.
- Proven track record of delivering AI-driven products or solutions.
- Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), data processing pipelines, and cloud platforms.
- Awareness of NVIDIA technologies and approaches, such as CUDA, TensorRT, or NVIDIA AI Enterprise.
- Experience managing and scaling technical teams.
- Solid understanding of software development best practices and agile methodologies.
- Excellent problem-solving, decision-making, and strategic thinking skills.
Preferred:
- Experience in a startup or fast-growing environment.
- Familiarity with AI ethics, data privacy regulations, and compliance standards.
- Hands-on expertise in MLOps and CI/CD pipelines for AI.
- Strong network in the AI/ML and technology industry.
- Advanced experience with NVIDIA technologies and frameworks.
Key Competencies
- Leadership: Ability to inspire and lead cross-functional teams.
- Technical Acumen: Deep knowledge of AI, ML, and software engineering principles.
- Strategic Vision: Aligns technological advancements with business goals.
- Client Focus: Committed to understanding and delivering on client needs.
- Collaboration: Strong team player with excellent interpersonal skills.
- Adaptability: Thrives in a dynamic, fast-paced environment
Additional Information
Why Join Verysell AI Lab?
- Be part of a rapidly growing company at the forefront of AI innovation.
- Work with a talented and passionate team of professionals.
- Opportunity to influence and shape the company’s technological direction.
- Competitive compensation package with performance-based incentives.
- Access to cutting-edge NVIDIA technologies and resources for innovation.
- Fringe benefits (20 leave days/kindergarten & lunch allowance)
- Premium extra healthcare insurance
- 13th salary bonus/ competitive salary
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture CI/CD Computer Science Consulting CUDA Engineering KPIs Machine Learning MLOps Pipelines Privacy PyTorch R R&D Research TensorFlow TensorRT
Perks/benefits: Career development Competitive pay Startup environment
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