Data Engineer

ABOUT CLIENT

Our client is a reputable company specializing in software development and IT consulting services

JOB DESCRIPTION

Enrich structured and unstructured data to create datasets.
Improve data quality and integrity by developing validation tools to assess the effectiveness of data enrichment.
Develop expertise in deep learning and machine learning applications, analyzing and understanding the underlying dynamics and behaviors in the data.
Generate insights from the data and collaborate with the research team to create tradable signals.
Develop utility tools to automate software development, testing, and deployment workflows.
Provide technical support for global researchers, including diagnosing technical problems and proposing solutions to developers.

JOB REQUIREMENT

A strong academic background with a minimum of a Bachelor's degree in a technical or quantitative field.
Practical experience and solid theoretical understanding of deep neural networks and other machine learning techniques.
A demonstrated ability to design and implement data science pipelines and real-time applications in Python.
Proficiency with Python-based tools such as Jupyter Notebook, and familiarity with coding standards (PEP8).
Exceptional analytical and problem-solving abilities with strong attention to detail.
Excellent software development skills with the ability to convert rough overall use-cases into a working codebase.
Motivated by deep curiosity and passion to learn.
Experience in the AI/LLM space.
Proficiency with C++ tools such as STL and object-oriented programming (OOP) in C++.
Prior experience as a Data Scientist or Data Engineer in a finance/investment domain.
Hands-on experience with Linux/Unix shell and Git.
Practical experience with time-series forecasting and analysis methods.

WHAT'S ON OFFER

Job Opportunity
Be part of a dynamic and passionate team working on cutting-edge projects using the latest technology.
Collaborate with experts from around the globe to enhance your skills and knowledge.
Embrace a culture of transparency and support, valuing individual growth and potential.
Benefits include
Additional month's salary and performance bonuses.
Flexible hybrid work model allowing for a blend of office and remote work.
Comprehensive healthcare and accident insurance coverage.
Yearly health checkup package.
Various allowances such as lunch, marriage, newborn baby, bereavement, and more.
Well-equipped pantry for a comfortable lunch break.
Diverse sports and social activities like yoga, football, badminton, and tech clubs.
Annual company retreats and team-building events.
Recognition awards for outstanding individual and team performance and long-term service.
Professional development opportunities including advanced English and soft skills training.
Regular social events such as gatherings, games, birthday celebrations, and year-end parties.
Company funds to support personal loans for home, vehicle, tuition, etc.

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:

Outsourcing

Technical Skills:

Data Engineering, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J01896

Status:

Close

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning

Design and prototype deep learning models for wireless signal processing tasks such as channel estimation, beam alignment, link adaptation, and scheduling. Work with simulation tools and real-world datasets to build models that generalize across diverse wireless scenarios. Implement, train, and validate neural networks (e.g., CNNs, Transformers, GNNs) using PyTorch or TensorFlow. Collaborate with researchers and system engineers to integrate models into fullstack RAN. Optimize model performance for real-time inference and hardware acceleration. Contribute to model evaluation, benchmarking, and deployment readiness on GPU platforms.

Negotiation

View details

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning
  • Management

Lead and grow a high-impact engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Guide the development of deep learning models for tasks such as channel estimation, beamforming, link adaptation, and CSI compression. Collaborate with global teams across architecture, research, and systems to drive proof-of-concepts and production-quality AI-RAN components. Oversee integration of AI models into full-stack simulations and/or testbeds using frameworks such as PyTorch, TensorFlow, and Sionna. Align project priorities with hardware-software co-design constraints and deployment scenarios on Our Client's platforms. Mentor team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • AI

Build, lead and scale world-class engineering teams in Vietnam, collaborating with global counterparts across system software, data science, and AI platforms. Drive the design, architecture, and delivery of high-performance system software platforms that power Our Client's AI products and services. Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship Our Client's services. Engage with open-source and enterprise data and workflow ecosystems (e.g., Temporal, Gitlab DevOps Platform, RAPIDS, NeMo Curator, Morpheus) to advance accelerated AI factory, data science and data engineering workloads. Champion continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Collaborate with product management and cross-functional stakeholders to ensure enterprise readiness and customer impact. Develop and deploy standard processes for large-scale, distributed system testing, encompassing stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details