NLP Operations Engineer

JOB DESCRIPTION

Our Client is seeking an exceptional individual to join the firm as NLP Operations Engineer.
While prior finance or machine learning experience is not required, a successful candidate must possess a strong interest in learning about finance, global markets and machine learning.
NLP Operations Engineer will design, implement and monitor complex proprietary platforms, pipelines, and tools to support our NLP Quant Researchers and PMs.
You will collaborate with researchers and PMs to gather, analyze and spec out requirements, develop and test code robustness and latency, and manage product deliverables. A successful candidate will help build production pipelines employing state-of-the-art NLP models and techniques supporting investment strategies at scale.

JOB REQUIREMENT

MUST HAVE:
BSc/M.Sc. from a leading university in Computer Science, Engineering, or a related discipline
Experience developing scalable and robust software
Experience building distributed or data-intensive systems
Experience programming production systems in Python and C++
Knowledge of parallelization, threading, multiprocessing, etc.
Familiar with workflow scheduling (e.g. Airflow)
Experience working in Linux environments
Strong communication skills; ability to express complex concepts in simple terms
NICE TO HAVE:
Experience in deploying machine learning frameworks in production
Experience with Kubernetes and Kafka
Work with leading cloud technologies (such as AWS, and GCP)
Experience with SQL databases (MySQL, PostgreSQL)
Familiar with Deep Learning frameworks (PyTorch) 
Understanding basic probability, statistical inference, and software solvers is a big plus
Experience building CI/CD and machine learning pipelines is a big plus

WHAT'S ON OFFER

Competitive and attractive compensation package with a clear career road-map – where you feel challenged every day
We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
Learn from who sits next to you! Working in our client's environment, you are surrounded by smart and talented people
Employee resources groups with strong diversity and inclusion culture
Premium Health Insurance and Employee Assistance Program
Generous time-off policy, unlimited sick days, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
Team building activities every month: Local engagement events, monthly team lunches – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
Annual company trips and occasional global conferences – the opportunity to travel and connect with our global teams
Happy hour with tea breaks, snacks, and meals every day in the office!

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:

Python, C/C++, NLP, Machine Learning

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01209

Status:

Close

Related Job:

PreSales Solutions Engineer

Ho Chi Minh - Viet Nam


Product

  • Presale
  • System
  • Google Cloud

PreSales Support: Collaborating with the Sales team to understand client needs and develop tailored solutions using Google Maps and Google Cloud services. This involves conducting technical presentations, product demonstrations, and creating proof of concepts (POCs) for prospective clients, as well as contributing to proposals and RFP responses with detailed technical information. Post-Sales Support: Leading the technical implementation of Google Maps and Google Cloud services, ensuring smooth deployment and integration. Providing ongoing technical support and troubleshooting for clients after implementation, working closely with cross-functional teams to ensure client satisfaction and build long-term relationships. Technical Expertise: Staying up-to-date with the latest Google Maps and Google Cloud technologies, serving as a subject matter expert (SME) for both internal teams and clients. Integrating new features and services into client solutions and providing guidance on best practices. Collaboration: Working closely with Sales, Product, Infrastructure, Data, and Engineering teams to align solutions with client needs and company goals. Mentoring junior team members and contributing to training initiatives.

Negotiation

View details

Technical Lead

Ho Chi Minh - Viet Nam


Product

  • NodeJS
  • Python

Leading the backend development team, providing technical direction, mentorship, and best practices. Designing and implementing scalable, secure, and high-performance microservices-based architectures. Architecting and implementing agentic AI workflows and RAG (Retrieval-Augmented Generation) systems for personalized user interactions and automated coaching features. Overseeing data pipelines and infrastructure required for real-time AI model inference within a microservices-based environment. Collaborating with stakeholders to align on requirements and delivery timelines. Optimizing application performance, monitoring system reliability, and proactively troubleshooting issues. Advocating for CI/CD pipelines, automated testing, and robust version control strategies. Documenting key architectural decisions, APIs, and processes for internal use.

Negotiation

View details

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