Senior Machine Learning Engineer

JOB DESCRIPTION

Analyze EEG/EMG/EOG brain signals to predict user states such as focus, stress, emotion, sleep stages, and other relevant information
Develop and maintain recommendation systems and health assistants using advanced machine-learning techniques
Develop machine learning models to analyze large amounts of data from different sources and build predictive models that provide insights into user's states and behaviors
Research brain and auditory stimulations for sleep enhancement, cognitive function improvement, psychology treatment, and other unlocking brain potentials
Collaborate with cross-functional teams to develop and implement algorithms and models to solve complex problems
Work closely with other team members, including neuroscientists, software engineers, and product managers, to deliver high-quality products and services

JOB REQUIREMENT

Bachelor's, Master's degree or higher in Computer Science, Electrical Engineering, or a related field
At least 3 years of experience in building machine-learning models and applying machine-learning techniques in the industry
Strong programming skills in Python (and/or C/C++) and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
Optional 1: Strong knowledge of signal processing techniques and/or experience working with EEG brain signals
Optional 2: Experience with natural language processing (c), chatbot, and/or recommendation systems,...
Good communication and collaboration skills
Strong analytical and problem-solving skills

WHAT'S ON OFFER

Full salary during the probation period
Opportunity to learn and develop, a chance to companion with a potential company
A clear policy of performance review, awards, and promotion
Free lunch at the office, free motorbike parking
Paid leave: 12 days off annually
Activities: Teambuilding, happy lunch, happy hour, and many interesting cultural activities
Health care: Annual health check
Insurance: Social insurance, health insurance
Working hour: Mon-Fri 8.00 AM – 6.00 PM

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

Technical Skills:

Machine Learning

Location:

Ha Noi - Viet Nam

Working Policy:

Job ID:

J01349

Status:

Close

Related Job:

Cloud Engineer (Azure)

Ho Chi Minh - Viet Nam


Product, Outsource

  • Devops
  • Azure

Design, set up, and operate the Core Cloud Infrastructure. Integrate cloud services into the Developer Platform, including financial operations (FinOps). Implement and manage infrastructure as code (IaC) using Terraform, OpenTofu, and Crossplane. Utilize cloud services effectively. Develop and maintain scripts and applications using Python and Go. Manage CI/CD pipelines using ArgoCD and cloud-specific pipelines. Implement FinOps tools. Ensure the security and networking of the cloud infrastructure.

Negotiation

View details

DevOps Engineer

Ho Chi Minh - Viet Nam


Product, Outsource

  • Devops
  • Azure
  • Kubernetes
  • Terraform

Create a Kubernetes-based Developer Platform on Azure Automate infrastructure deployments on Azure Ensure efficient and secure operation of the Developer Platform Collaborate with software developers, architects, and product owners to collect and structure architectural decisions Contribute to the continuous improvement of documentation practices

Negotiation

View details

Software Engineer (Node.js) - Database

Ho Chi Minh - Viet Nam


Product

  • NodeJS

Create system architectures, set coding standards, and build cloud-native solutions. Write Node.js code, improve system performance, and address intricate software integration issues. Supervise testing, deployment, and thorough documentation of integrated systems. Guide junior engineers, collaborate across teams, and make sure solutions align with business needs and global standards. Actively participate in all Agile software development stages, such as generating user stories and leading sprint planning. Collaborate with international companies, showing flexibility to accommodate US and EU time zones occasionally.

Negotiation

View details