Machine Learning Software Engineer

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Rosary Labs Full time 7,000 - 10,000 per year
Job Description

As a Machine Learning (ML) Software Engineer, you will develop and maintain the backend infrastructure that powers AI tools and ensures they run reliably at scale.

In this role, you will design, implement, and optimize end-to-end ML pipelines: data ingestion, processing, model interaction, orchestration, and deployment. You will work with Large Language Models (LLM), computer vision models, retrieval components, and cloud services. You'll also prototype quickly, evaluate what works, and productionize the components that deliver value to users.

What We Offer
  • RM7-10k salary
  • Flexible work environment with remote options
Opportunities
  • Learn and scale LLM powered applications
  • Build intuitive user interfaces for LLM applications
  • Design front-end systems that integrate with LLM API for real-time interaction
Requirement
  • Minimum of 3–5 years of professional software engineering experience, with strong expertise in Python and frameworks like Django or Flask.
  • Demonstrated experience in designing and implementing backend architectures, including API development, service integration, and database design.
  • Proficient in working with cloud platforms (AWS, GCP, or Azure) — including service provisioning, infrastructure setup, and deployment pipelines.
  • Ability to stand up new services from scratch, including selecting tools, setting up CI/CD workflows, and establishing monitoring/logging.
  • Experience linking together diverse systems, such as data pipelines, LLM APIs, or internal microservices.
  • Comfortable with technical scoping, trade-off analysis, and translating business needs into stable, maintainable engineering solutions.
  • Familiarity with frontend technologies (e.g., React, ) and UI frameworks (e.g., TailwindCSS) is a plus, but not the primary focus of the role.
  • Strong grasp of Git-based version control, collaborative code reviews, and agile team practices.
Preferred skills
  • Experience integrating LLM APIs (OpenAI, Claude, etc.) into backend workflows.
  • Exposure to machine learning deployment and data processing pipelines.
  • Familiarity with PostgreSQL, Redis, Docker, and containerized app deployment.
  • Working knowledge of CI/CD tools and automated test pipelines.
  • Prior involvement in technical product planning, MVP design, and iterative delivery of early-stage products.

Thank you for your interest. Reach us at if you have any queries

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