19 Machine Learning Engineer Jobs in Petaling Jaya - September 2026 - High Salaries

Showing 19 jobs results for "machine learning engineer" in Petaling Jaya
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MYR7,000 - MYR9,500 Per Month
Near Train Station
  • Integrate BI tools and build data visualization dashboards.
  • Manage third-party API integrations (logistics, payment, verification systems).
  • Use AI tools to accelerate development, debugging, and code review ...
Posted
4 months ago
  • Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
  • Develop prompt engineering, evaluation, and optimization approaches for AI systems.
  • Develop and maintain AI model deployment pipelines and model lifecycle processes. ...
Posted
a day ago
  • Implement Retrieval Augmented Generation (RAG) architectures and knowledge retrieval solutions.
  • Develop prompt engineering, evaluation, and optimization approaches for AI systems.
  • Develop and maintain AI model deployment pipelines and model lifecycle processes. ...
Posted
17 days ago
  • Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.
  • Benefits:
  • Application Question(s): ...
Posted
2 days ago
  • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
  • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
  • Turn manual processes into reliable AI-enabled systems that can scale. ...
Posted
a day ago
  • Translate complex algorithmic ideas - syntax parsing, semantic chunking, custom routing - into reliable, production ready software components.
  • Build and rigorously evaluate prototypes for future AI initiatives, including open source small language models (SLMs), custom embeddings, and multi agent / cross validation patterns, backed by measurable retrieval and quality metrics.
  • Architect multi tenant data, identity, and authorization layers that meet enterprise security and compliance requirements. ...
Posted
7 days ago
  • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
  • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
  • Turn manual processes into reliable AI-enabled systems that can scale. ...
Posted
8 days ago
  • Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
  • Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
  • Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project ...
Posted
9 days ago
  • Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
  • Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
  • Master's or Ph.D. in a relevant engineering or scientific field is highly preferred. ...
Posted
9 days ago
  • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
  • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
  • Turn manual processes into reliable AI-enabled systems that can scale. ...
Posted
13 days ago
  • Build production automation workflows using N8N, integrating AI agents into broader business processes.
  • Implement tool-calling agents with access to APIs, databases, and file systems.
  • Integrate GPT Vision for document parsing and visual data extraction. ...
Posted
18 days ago
  • Integrate front-end and back-end systems with third-party APIs, authentication systems, and microservices.
  • Collaborate with DevOps to ensure CI/CD automation and efficient deployment pipelines.
  • Conduct code reviews, enforce best practices, and ensure code maintainability. ...
Posted
19 days ago
  • Lead the evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs.
  • Develop and own key components of the automation framework, including PowerShell and Python runbook executors.
  • Develop and train machine learning models for tasks such as anomaly detection, predictive maintenance, and capacity planning in IT environments. ...
Posted
22 days ago
  • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
  • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
  • Turn manual processes into reliable AI-enabled systems that can scale. ...
Posted
25 days ago
  • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
  • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
  • Turn manual processes into reliable AI-enabled systems that can scale. ...
Posted
a month ago
  • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
  • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
  • Prototype quickly, test with users or operators, then productionize what works. ...
Posted
2 days ago
  • Leverage analytics to identify data patterns or build analytics
  • Currently pursuing Degree/Master in Computer Science, Information Technology, Data Science, Statistics or equivalent
  • Willing to commit minimum 4 months up to 6 months ...
Posted
5 days ago
  • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
  • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
  • Prototype quickly, test with users or operators, then productionize what works. ...
Posted
7 days ago
  • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
  • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
  • Prototype quickly, test with users or operators, then productionize what works. ...
Posted
a month ago