Machine Learning Engineer

JOB DESCRIPTION

We are seeking a highly skilled and motivated ML Engineer to join our dynamic team. As an ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge machine learning solutions that address complex real-world challenges. Your role will involve collaborating with cross-functional teams, conducting data processing and analysis, and participating in the entire machine learning model development lifecycle. If you have a passion for AI technology, strong problem-solving skills, and a desire to contribute to our growth, we would love to hear from you.
Key Responsibilities:
Develop, implement, and maintain machine learning models, with a focus on Large Language Models (LLMs).
Collaborate with cross-functional teams to integrate machine learning algorithms into our platform.
Conduct data processing and analysis to improve model performance.
Stay updated with the latest advancements in machine learning and NLP, and apply this knowledge to improve our product.
Participate in the entire model development lifecycle, from research and experimentation to deployment and optimization.
Write clean, maintainable, and efficient code.

JOB REQUIREMENT

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
06 years of experience in related fields with proven experience in machine learning, particularly with Large Language Models like GPT-3, Llama-2, BERT, or similar technologies.
Strong programming skills in Python, and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Experience with natural language processing (NLP) is highly desirable.
Ability to work in a fast-paced and dynamic environment.
Excellent problem-solving and analytical skills.
Strong communication and teamwork skills.

WHAT'S ON OFFER

Attractive compensation and benefits commensurate with experience.
Generous daily lunch allowance of $10 per day, provided to each team member.
Overseas travel opportunities for training and working related, providing exposure to international projects and collaborations.
An employee-centric culture that values the skills and abilities of our team members, providing them with the necessary tools and resources to excel in their roles and advance in their careers.
A collaborative work environment that fosters teamwork, knowledge sharing, and innovation.
Flexible working hours
Unlimited paid leaves
Fun team activities & outing

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, AI Application Platform

Technical Skills:

Machine Learning, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01397

Status:

Close

Related Job:

Chief Technology Officer

Ha Noi - Viet Nam

Product

  • Cloud
  • Backend

Planning & designing overall system architecture: Creating a Technology Roadmap for a Game Server system with high concurrency and low latency for global players. Cost optimization: Deciding on the strategy for using Cloud infrastructure (AWS, GCP, Azure) or Hybrid Cloud to balance performance and operational expenses. High-level consultation: Participating in the Executive Board to address the relationship between speed-to-market of features and system stability. Tech-stack selection: Evaluating and finalizing programming languages (Go, C++, Java, Node.js) and processing models (Microservices vs Monolith) suitable for the complex logic of the game. Scalability solution: Directing the development of Auto-scaling, Load Balancing mechanisms, and managing Player State on large clusters. Data management: Designing Database structure (SQL/NoSQL) and Cache system (Redis, Memcached) to handle billions of queries daily without congestion. Ensuring Uptime: Building real-time monitoring and alerting systems to maintain 99.99% Availability. Network security: Implementing solutions to combat DDoS attacks, game fraud (Anti-cheat), and comprehensive user data security. Infrastructure & CI/CD: Standardizing automatic deployment processes to ensure game updates (Hotfix/Update) do not disrupt players. Deployment strategy & Optimization: Developing plans to optimize Cloud Services costs (AWS/GCP/Azure), evaluating the use of Spot Instances, Reserved Instances, or Private Cloud solutions to save operational budget. Meanwhile, establishing 24/7 monitoring and incident response systems.

Negotiation

View details

Partner Implementation Engineer (Security & Digital Trust)

Ha Noi - Viet Nam

Outsource

  • System

Đóng vai trò là người thực hiện triển khai chủ chốt, chịu trách nhiệm triển khai, cấu hình và tích hợp các giải pháp Security & Digital Trust (PKI, Chữ ký số, Mã hóa, MFA) vào hệ thống thực tế của khách hàng, đảm bảo hệ thống vận hành ổn định, bảo mật và đúng thiết kế. Triển khai hệ thống (Implementation) Chuẩn bị môi trường: kiểm tra hạ tầng (Server, Hệ điều hành, Cơ sở dữ liệu, Mạng) Cài đặt & cấu hình giải pháp: PKI / CA / Chữ ký số / MFA / Mã hóa Thiết lập chính sách bảo mật, quy trình nghiệp vụ Kết nối với thiết bị bảo mật (HSM, Quản lý Khóa) Triển khai trên nền tảng Cloud / Container (nếu có) Triển khai hệ thống trên Kubernetes / OpenShift Cấu hình tài nguyên (YAML: Pod, Dịch vụ, Ingress, Bản đồ Cấu hình, Bí mật) Thiết lập lưu trữ (Khối Lưu trữ Không gian); mạng nội bộ Áp dụng các chính sách bảo mật cho container Tích hợp hệ thống (Integration) Hỗ trợ tích hợp với: Trang web/ Ứng dụng/ Giao diện lập trình ứng dụng và IAM / SSO / AD / LDAP Hướng dẫn sử dụng API/SDK Kiểm tra luồng dữ liệu & bảo mật giao tiếp Phối hợp với nhóm khách hàng (Phát triển / Cơ sở hạ tầng / Bảo mật) Kiểm thử & nghiệm thu (QA/UAT) Thực hiện kiểm thử kỹ thuật & kịch bản vận hành Hỗ trợ UAT với khách hàng Kiểm tra tính đúng đắn của: Chữ ký số; Chứng thư và Luồng xác thực Vận hành & hỗ trợ Giám sát hệ thống, phân tích log, xử lý sự cố Hỗ trợ sau triển khai (L2/L3) Đảm bảo hệ thống hoạt động ổn định & HA Tài liệu & chuyển giao Xây dựng tài liệu triển khai (cấu trúc, cấu hình) Hướng dẫn vận hành cho khách hàng Đào tạo kỹ thuật cơ bản

Negotiation

View details

DevOps Engineer

Others - Viet Nam

Product

  • Devops
  • Kubernetes
  • Network

Managing and developing our Kubernetes platform across multiple clusters and environments including production, development, on-premises and public cloud. Designing and overseeing hybrid cloud infrastructure across on-premises and public clouds (such as GCP, AWS), including workload placement, cross-cloud networking, and unified resource management. Taking responsibility for the end-to-end CI/CD and GitOps process, including container build pipelines, image optimization, and progressive delivery using tools like ArgoCD/FluxCD. Taking charge of the observability stack to provide a comprehensive view across all clusters using tools like Grafana, Mimir, Tempo, Loki, Pyroscope, OnCall, Prometheus, and supporting agent-assisted SRE workflows. Managing and enhancing our inference platform, including vLLM serving and AIBrix for multi-model orchestration and autoscaling with a fleet of NVIDIA GPUs. Operating platform services such as Kafka, Redis, PostgreSQL, OpenSearch. Managing identity and access management with Keycloak integrated with Google Workspace, strengthening SSO, RBAC, and secrets management across the platform. Strengthening network security across private load balancers, firewalls, and VPC segmentation and designing and maintaining hub-and-spoke/multi-AZ topologies. Supporting training infrastructure with self-service VM provisioning, RunPod burst capacity, and Weights and Biases integration. Driving infrastructure reliability, cost efficiency, and capacity planning as the platform scales.

Negotiation

View details