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Location
In office (Kuala Lumpur)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Nov 2, 2026.

Overview
Company
Impact
Profile match
R Systems is an IT services and solutions provider covering data analytics, robotic process automation, QA and testing, application development, KPO and BPO, supply chain solutions and mobile broadband management. It hires infrastructure specialists, solution architects, .NET developers and testers across India and Malaysia. The company is based in India.

Hiring: Data Engineer / AI Engineer

We are looking for an experienced Data Engineer with 5+ years of overall experience, including at least 1–2 years of hands-on experience as an AI Engineer.

Role: Data Engineer / AI Engineer

Experience: 5+ years overall, with 1–2+ years in AI Engineering

Location: Malaysia

Employment Type: Full-time / Contract

Key Responsibilities

  • Design, build and maintain scalable data pipelines and data platforms.
  • Develop and optimize ETL/ELT pipelines for structured and unstructured data.
  • Work with cloud data platforms, data lakes and data warehouses.
  • Develop and integrate AI/ML solutions into data and business applications.
  • Work with Generative AI, LLMs, RAG or AI-powered applications where applicable.
  • Prepare, transform and manage datasets for AI/ML model development and deployment.
  • Develop APIs and data services to support AI and analytics applications.
  • Implement data quality, monitoring, governance and performance optimization.
  • Collaborate with Data Scientists, AI Engineers, Software Engineers and Business teams.
  • Troubleshoot data and AI pipeline issues and support production deployments.

Required Skills

  • 5+ years of experience in Data Engineering
  • 1–2+ years of hands-on AI Engineering experience
  • Strong experience in Python and SQL
  • Strong understanding of ETL/ELT and data pipeline development
  • Experience with data lakes, data warehouses and cloud platforms
  • Experience with Apache Spark / PySpark
  • Experience with technologies such as Databricks, Azure, AWS or GCP
  • Understanding of Machine Learning and AI concepts
  • Hands-on exposure to Generative AI / LLM / RAG solutions
  • Experience with APIs, microservices and cloud-based applications
  • Strong problem-solving and analytical skills

Nice to Have

  • Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI or similar AI platforms
  • Experience building RAG pipelines and vector databases
  • Knowledge of ML/AI deployment and MLOps
  • Experience with Docker, Kubernetes and CI/CD
  • Knowledge of Kafka or other streaming technologies
  • Experience working with production-grade AI applications

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