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:

Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam


Outsource

  • Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

Negotiation

View details

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam


Product

  • Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation

View details

Senior Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam


Product

  • Python
  • AWS
  • Spark

Design and provide input on system architectures, contribute to coding standards, and mentor junior engineers. Work with various teams to ensure software solutions meet business requirements, international standards, and objectives. Tackle complex software development and integration challenges, optimizing system performance. Create high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and life sciences applications. Keep up-to-date with new technologies and Python frameworks, particularly in cloud computing. Oversee testing, deployment, and comprehensive documentation of integrated systems. Actively participate in all phases of the software development lifecycle. This includes creating user stories and engaging in sprint planning to align development efforts with business objectives. Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details