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:

Salary:

Negotiation

Job ID:

J00886

Status:

Close

Related Job:

Senior AI Engineer

Ho Chi Minh - Viet Nam


Product

  • Python
  • AI
  • Machine Learning

We're seeking an AI Engineer with strong academic foundations and deep technical expertise who excels at translating research into production banking systems. This role is 80% focused on engineering excellence-deploying models, optimizing infrastructure, ensuring reliability, and solving real-world implementation challenges-and 20% on staying current with cutting-edge AI research and emerging technologies. You'll bridge the gap between state-of-the-art AI research and scalable production systems in the financial services sector.#AI Engineering & Deployment (80%) Design, build, and deploy production-ready AI/ML systems on AWS with focus on reliability, scalability, and performance for banking applications Implement and maintain MLOps pipelines using AWS services (SageMaker, Bedrock, Lambda, Step Functions) including model versioning, monitoring, and automated retraining workflows Build and optimize AI solutions using AWS Bedrock, OpenAI API, and Gemini API combining with Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol for various banking use cases Design and implement prompt engineering frameworks and prompt management systems for LLM-based applications Develop graph analysis solutions for fraud detection, customer relationship mapping, and network analysis in banking contexts Debug and troubleshoot production AI systems, identifying and resolving issues in model performance, data pipelines, and AWS infrastructure Build and maintain AIOps practices including automated monitoring, alerting, and incident response for AI systems on AWS Optimize model serving infrastructure for latency, throughput, and cost-efficiency using AWS services Implement robust data pipelines using AWS Glue, Kinesis, and related services for training and inference Collaborate with software engineering and risk teams to integrate AI capabilities into banking products and services Ensure compliance with banking regulations and security standards in all AI deployments Monitor model performance in production and implement drift detection and retraining strategies#AI Research & Innovation (20%) Stay current with latest AI research papers and breakthroughs, evaluating applicability to banking and financial services Research and prototype emerging AI architectures and techniques for financial use cases Evaluate new paradigms in model training, inference optimization, and architectural innovations Share knowledge through technical discussions, paper reviews, and internal research presentations Identify opportunities to apply cutting-edge research to improve fraud detection, customer service, risk assessment, and other banking operations

Negotiation

View details

AI Solution Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Python
  • AI
  • Machine Learning

Designing AI Solutions: Development of AI Agents and RAG pipelines to automate intricate workflows in construction project management. Prompt Engineering & Optimization: Create, assess, and refine prompt-chaining strategies using frameworks such as LangChain and LangGraph. System Integration: Oversee the integration of AI capabilities into existing microservices, ensuring scalability and low latency. Cost & Performance Monitoring: Implementation of LLMOps to monitor token usage, model performance, and data security/privacy aspects (especially concerning sensitive data). Innovation: Stay abreast of the latest AI research and technologies, and propose enhancements to existing systems and workflows.

Negotiation

View details

Data Experience Lead

Ho Chi Minh - Viet Nam


Product

  • Project Management
  • Business Analyst
  • Data Analyst

Train pods in designing, building, deploying, and maintaining Data Products based on established playbooks. Simplify and translate platform playbooks into actionable user guides. Assist teams transitioning into new Data Mesh roles (DPO, Steward, Data Architect, Analytics Engineer, etc.). Provide hands-on support for early-wave or complex Data Products. Make data products and platform accessible and engaging for all staff across the organization. Develop a digital enablement portal including guides, checklists, templates, and videos. Create structured training pathways and capability improvement programs for all affected staff/users. Generate clear visual materials such as diagrams, flows, web-style docs, and promotional videos to aid adoption and understanding. Facilitate onboarding, workshops, roadshows, Q&A sessions, town hall presentations, and demos. Offer structured guidance across ingestion patterns, medallion design, semantics, quality, and metrics to ensure consistency in a mesh environment. Execute or coordinate targeted POCs for pods needing specialized help. Identify and communicate reusable patterns back to the Data Mesh Platform Team. Organize Showcases to create visibility, excitement, and promote reuse. Oversee the end-to-end user experience design for the Data Mesh Platform, aiming for clarity, trust, and ease of use. Shape how users discover, understand, and interact with data products across domains. Maintain UX standards in partnership with the customer-facing UX Design team. Take a deeply user-centric approach to drive change through intuitive and guided technology. Engage with end users to understand needs and gather insights. Integrate continuous feedback loops and iterate quickly to improve platform usability. Ensure all Mesh Experience features support adoption and reinforce the "data-as-a-product" mindset. Maintain active channels for communication and updates. Communicate expectations, standards, and timelines clearly. Highlight wins and success stories to build momentum. Curate relevant external content to support the transformation. Monitor progress of rollout, leader boards, and raise blockers with appropriate stakeholders. Utilize data to highlight platform adoption, culture change, wins, and challenges. Produce clear and compelling summaries on adoption progress for decision making. Manage end user feedback and be the link between users and the platform team.

Negotiation

View details