Applied Artificial Intelligence Lead (Open for Vietnam and Canada)

JOB DESCRIPTION

Understand business objectives and user insights, and lead the team to architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems to solve sound recognition and recommendation problems
Work closely with Product Owners and stakeholders to frame feasible and proper AI solutions to serve product goals
Establish scalable, efficient, automated processes for data analysis, model development, validation, monitoring and maintenance
Contribute engineering aspects in business strategic planning and balance strategic and tactical direction to deliver and maintain stable, scalable, cost-effective solutions with focused innovations
Proactively and innovatively propose AI/ML solutions to bring further values for business through enhancing product features
Identify and manage technical dependencies and risks
Advocate and implement technical standards, policies and best-practices
Continuously review code, technical documentation and coding standards for the team
Conduct necessary research to solve technical problems and evolve our technology
Work closely with product owners and engineers to deploy modules and services to mobile platforms
Mentor and educate AI team members to adopt best practices in researching, implementing and maintaining production machine learning code
Collaborate and manage partnerships with internal and external technical partners.
Demonstrated strong oral and written communication that enables you to explain complex concepts to both technical and non-technical members of the team

JOB REQUIREMENT

Education and Working Experience:
Master’s or PhD degree in Computer Science, Mathematics. AI or related disciplines
Minimum 5 years experience in researching, developing, building, training, evaluating and deploying AI/ML models
Experience in leading, mentoring and supporting peers and teams, fostering the best engineering practices
Experience in building a learning organization and are continuously learning
Excellent research capability in AI such as reading, publishing and applying findings from scientific papers
Proficiency with deep learning frameworks that are best suited for deployment
Familiar with programming languages such as Python and C/C++
Experience in building and deploying audio AI/ML models on devices with real-time (or near real-time prediction)
Experience with digital signal processing techniques such as music information retrieval, noise cancelling or noise reduction
Plus
You love music and music-related products
You can play at least 1 instrument
Soft skills 
Self-starter who is enthusiastic, adaptable, customer-oriented and willing to learn and share
Well-developed critical thinking skills
Fortitude to remain calm and react appropriately in high-pressure situations

WHAT'S ON OFFER

Truly startup spirit: NO bureaucracy, NO hierarchy. Employees are all leaders of themselves and their work
Competitive salary based on experience and potential contribution
13th salary commitment
Bonus based on your performance
Private Medical Checkup
Company have full benefits Premium health care insurance
Annual leave: 12 days/ year, if employee joins full year
Equity plan for excellent contribution/key position
Training and Development Program supported by Company
Monthly team building
Company trip

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

product company, music technology, music game

Technical Skills:

AI, Machine Learning

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Job ID:

J00886

Status:

Close

Related Job:

Senior Full-Stack Engineer (AI Service Desk)

Ho Chi Minh - Viet Nam


Outsource

  • .NET
  • ReactJS
  • Azure

Create and maintain backend services and APIs using C# and .NET technologies Construct contemporary frontend applications and dashboard interfaces using React Establish scalable integrations between operational systems, analytics services, and reporting layers Possess full-stack development experience across frontend and backend systems Collaborate with engineering and product teams to translate business requirements into technical solutions Enhance application performance, maintainability, and scalability Engage in technical discussions, code reviews, and architecture decisions Contribute to engineering standards and development best practices

Negotiation

View details

Strategy and Operations

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Operation

Undertake critical projects related to game operations, player experience, and marketing Receive mentorship from senior leaders, with project goals and scopes directly determined by the Country Head & Product Management Leaders Engage in various aspects of project execution, from planning and coordination to problem-solving and performance tracking Rotate across functions to make a genuine impact with each project Assume responsibility for measurable outcomes tied to real business results, from revenue-driving campaigns to product feature rollouts Gain insight into the inner workings of the gaming business by participating in its operations Access dedicated coaching and receive frequent performance feedback to foster development.

Negotiation

View details

Senior AI DevSecOps Engineer

Ho Chi Minh - Viet Nam


Product

  • Devops
  • AWS
  • Azure
  • Security

Management of CI/CD Pipeline: Ensure automation, security, and scalability across all stages of the development lifecycle. Infrastructure & Security: Design and implement secure multi-cloud infrastructure solutions leveraging cloud services, containerization, and orchestration tools. Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimize CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack with proactive alerting, dashboards, and runbooks for critical business flows and security events. Secret & Credential Management: Design and enforce secrets management practices across all environments ensuring zero hardcoded credentials in codebases and pipelines. Incident Response & On-Call: Own and continuously improve incident response processes, define runbooks, lead post-mortems, track MTTR, and participate in on-call rotation to maintain platform reliability and SLO adherence. Threat Modelling & Penetration Testing: Conduct regular threat modelling sessions with engineering teams and coordinate or perform penetration testing activities to proactively identify attack surfaces before they reach production. Code Security: Conduct regular code reviews and static/dynamic analysis to identify and remediate security vulnerabilities. Compliance and Best Practices: Ensure compliance with industry standards and best practices. Collaboration: Collaborate with development, operations, and security teams to foster a culture of automation and security-first thinking. Mentorship: Mentor junior engineers and other team members on security best practices. Documentation: Maintain thorough and up-to-date documentation of security policies, procedures, and incident reports. Trend Scouting: Stay updated with the latest trends in technology and AI to integrate innovative solutions into our processes.

Negotiation

View details