53 Machine Learning Jobs in Petaling - September 2026 - High Salaries

Showing 53 jobs results for "machine learning" in Petaling
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  • 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
3 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
4 days 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
8 days ago
  • Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
  • Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
  • Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution. ...
Posted
9 days ago
  • Guide participants during practical exercises and provide technical assistance when required.
  • Encourage participant engagement through discussions, demonstrations, and interactive learning.
  • Answer participant questions confidently and professionally. ...
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
10 days ago
  • Build and validate proof-of-concepts (POCs), prototypes, and reference architectures for new AI use cases and technologies.
  • Develop and integrate AI capabilities such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, automation workflows, predictive analytics, and intelligent knowledge systems.
  • Design and implement system integrations through APIs, databases, cloud platforms, and enterprise applications. ...
Posted
10 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
10 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
10 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
14 days ago
  • Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
  • Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
  • Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution. ...
Posted
16 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
4 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
7 days ago
  • Guide participants during practical exercises and provide technical assistance when required.
  • Encourage participant engagement through discussions, demonstrations, and interactive learning.
  • Answer participant questions confidently and professionally. ...
Posted
19 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
8 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
20 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
21 days ago
  • Guide participants during practical exercises and provide technical assistance when required.
  • Encourage participant engagement through discussions, demonstrations, and interactive learning.
  • Answer participant questions confidently and professionally. ...
Posted
23 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
24 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
  • 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
a month ago
  • Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
  • Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
  • Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences. ...
Posted
18 days ago