Python - AI Engineer

Lenovo Group Limited

Kuala Lumpur

On-site

MYR 120,000 - 160,000

Full time

4 days ago
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Job summary

Lenovo is seeking a backend/AI software engineer in Kuala Lumpur to design, develop, and maintain scalable backend services for Sales IT systems using Java, Spring Boot, and microservices. You will implement REST APIs, work with ML/AI components in Python, and ensure performance and reliability in production environments.

This role collaborates with data teams, handles relational databases, and embraces modern DevOps practices such as Git, CI/CD, testing, and code reviews.

Qualifications

  • Bachelor's degree in Computer Science or related field required
  • Graduates from top-tier universities or those holding a Master’s degree are preferred
  • Solid programming skills in Java and Python
  • Familiarity with Spring Framework (Spring Boot preferred)
  • Understanding of microservices architecture and API development
  • Hands-on experience with ML/DL frameworks e.g. PyTorch, TensorFlow, scikit-learn

Responsibilities

  • Design, develop, and maintain backend services for Sales IT systems using Java and Spring Boot
  • Build and support microservices (REST APIs, integration patterns, service reliability/observability basics)
  • Develop AI/ML-related code in Python including data preparation, training experimentation, and evaluation
  • Integrate trained models into applications ensuring performance and reliability
  • Work with relational databases and SQL including data modeling and performance considerations
  • Use Git, code reviews, testing, CI/CD to deliver production-quality software
  • Partner with stakeholders to clarify business needs and translate them into technical solutions

Skills

Java
Python
Spring Framework
Microservices
REST APIs
PyTorch
TensorFlow
scikit-learn
Git
CI/CD
SQL

Education

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

Docker
Kubernetes

Job description

Design, develop, and maintain backend services for Sales IT systems using Java and Spring Framework/Spring Boot.

Build and support microservices (REST APIs, integration patterns, service reliability/observability basics).

Develop AI/ML-related code in Python, including data preparation, training experimentation, and evaluation.

Participate in AI projects with hands-on model training experience (e.g., feature engineering or embeddings, training runs, metrics, iteration, reproducibility).

Integrate trained models into applications (online inference APIs or batch jobs), ensuring performance, stability, and maintainability.

Work with relational databases and SQL; collaborate on data modeling and query/performance considerations.

Use modern engineering practices and tools (Git, code reviews, testing, CI/CD) to deliver production-quality software.

Partner with stakeholders to clarify business needs, translate them into technical solutions, and iterate based on feedback.

Demonstrate ownership: break down ambiguous problems, propose options, and drive tasks to completion with minimal supervision.

Required Qualifications

Bachelor’s degree in Computer Science or a related field (or equivalent experience).

Graduates from top-tier universities or those holding a Master’s degree are preferred.

Solid programming skills in Java and Python.

Familiarity with Spring Framework (Spring Boot preferred).

Understanding of microservices architecture and API development.

Hands-on experience with at least one ML/DL framework, e.g. PyTorch, TensorFlow, or scikit-learn

Real project experience in AI training

Real project experience in AI training (internship, academic, or industry), including training and evaluation of models.

Working knowledge of relational databases (e.g., PostgreSQL/MySQL/Oracle) and SQL.

Proficiency with common development tools and workflows (Git, debugging, build tools, testing).

Strong self-motivation and collaboration skills.

Preferred Qualifications (Nice to Have)

Experience deploying AI models to production (batch/streaming/online inference) and basic MLOps concepts.

Familiarity with containers and cloud (Docker/Kubernetes; AWS/Azure/GCP).

Experience with distributed systems, messaging, or caching (Kafka/RabbitMQ/Redis, etc.).

Ability to speak Chinese (Mandarin) is a plus.

What We’re Looking For (Behavioral / Mindset)

Ownership & self-directed execution: able to work independently, manage priorities, and communicate progress/risks clearly.

Product mindset: understands “why” behind requirements, cares about user/business impact, and can propose improvements instead of only implementing tickets.

Ideas & curiosity: brings viewpoints, experiments responsibly, and continuously learns new AI and engineering practices.

Team collaboration: works effectively in a global team and contributes to a healthy engineering culture.

Consumer Electronics Manufacturing 1,001-5,000 employees

Lenovo is a US$34 billion personal technology company, the second largest PC maker worldwide and an emerging PC Plus leader.

Serving customers in more than 160 countries, Lenovo's business is built on product innovation, a highly-efficient global supply chain and strong strategic execution. Its product lines include a full range of commercial and consumer PCs, servers and workstations, and a family of mobile internet devices including smartphones and tablets.

The "Protect and Attack" strategy is a key of Lenovo's success, and the right strategy for a PC Plus world. It is driving record market share, improved profitability and a more balanced business for Lenovo.

Lenovo is a US$34 billion personal technology company, the second largest PC maker worldwide and an emerging PC Plus leader.

Serving customers in more than 160 countries, Lenovo's business is built on product innovation, a highly-efficient global supply chain and strong strategic execution. Its product lines include a full range of commercial and consumer PCs, servers and workstations, and a family of mobile internet devices including smartphones and tablets.

The "Protect and Attack" strategy is a key of Lenovo's success, and the right strategy for a PC Plus world. It is driving record market share, improved profitability and a more balanced business for Lenovo.

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