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/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details

Team Lead Engineering (Crew team)

Ho Chi Minh - Viet Nam

Product - Booking Platform

  • .NET
  • ReactJS
  • Azure

Negotiation

View details

Korean IT Comtor (Open for Project Manager)

Ho Chi Minh - Viet Nam

Product

  • Comtor

Provide translation services for technical and business documents in Korean, English, or Vietnamese. Aid leaders and development team in facilitating effective communication within projects. Support leaders in project planning, execution, and management. Collaborate with stakeholders and teams to address issues and streamline processes for enhanced collaboration. Lead project meetings. Verify that deliverables meet technical and business requirements. Take on extra duties as required by the supervisor.

Negotiation

View details