Machine Learning Engineer Jobs in Federal Territory - September 2026 - Urgent Hiring

Showing 69 jobs results for "machine learning engineer" in Federal Territory
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KL City

  • Build AI-assisted features using approved model providers, orchestration frameworks and internal platform patterns.
  • Design safe tool-calling workflows over governed data sources, including read-only query tools, metric lookup tools, and schema/context tools.
  • Support document intelligence, financial analysis, variance explanation, forecasting support and guided Q&A use cases. ...
Posted
19 days ago

KL City

  • Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs.
  • Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices.
  • Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. ...
Posted
19 days ago

KL City

  • Design, develop, and implement AI/ML solutions based on business requirements.
  • Build, test, and deploy machine learning models and AI applications.
  • Collaborate with cross-functional teams to translate business needs into technical solutions. ...
Posted
19 days ago

KL City

  • Build agents and multi-step automations that replace manual work across finance, marketing, business development and web.
  • Wire third-party APIs and large language models into workflows that run in production, not in a demonstration.
  • Ship in weeks, not quarters. Get something real in front of a real user early, then improve it against what they actually do with it. ...
Posted
19 days ago

KL City

  • Build agents and multi-step automations that replace manual work across finance, marketing, business development and web.
  • Wire third-party APIs and large language models into workflows that run in production, not in a demonstration.
  • Ship in weeks, not quarters. Get something real in front of a real user early, then improve it against what they actually do with it. ...
Posted
19 days ago

KL City

  • Contribute to well-defined product features or service components, driving tasks from requirements through to production operation with team support.
  • Translate product and business needs into practical designs to build secure, reliable, and maintainable backend services, APIs, and integrations.
  • Support delivery quality and production stability through effective validation, release readiness, along with lasting defect fixes. ...
Posted
19 days ago

KL City

  • Design, develop, and optimize generative AI models using deep learning techniques, such as NLP, transformers, GANs, and reinforcement learning, to address specific business needs like personalized customer interactions, automated document processing, and predictive analytics.
  • Continuously improve model performance by experimenting with various architectures and training methodologies.
  • Design, develop, and deploy innovative AI applications using LLMs and generative AI techniques. ...
Posted
25 days ago

KL City

  • Design and evolve the advanced AI (including Gen AI LLM and multi-modal model) architecture blueprint and necessary technical capabilities.
  • Understand and compare different technology options and advise on technology selection.
  • Develop implementation roadmap for operationalizing the AI foundation and scalable architecture in the enterprise from the current state. ...
Posted
25 days ago

KL City

  • Lead the design and delivery of AI/ML and GenAI solutions.
  • Build scalable ML/DL models, LLM/RAG solutions, and AI applications.
  • Guide AI/ML engineers and conduct technical reviews. ...
Posted
a month ago

KL City

  • Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.
  • Create clear functional and technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria that guide high-quality delivery.
  • Design, develop, test, deploy, and maintain modern full-stack, cloud-native applications that are secure, scalable, resilient, observable, and maintainable. ...
Posted
a month ago

KL City

  • Knowledge of neural networks and transformers
  • Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.
Posted
a month ago

KL City

  • Design, build and scale testing capabilities using AI agents, using GitHub Copilot Agent Mode on the GitHub Enterprise platform and the Microsoft AI Foundry stack, to automate testing tasks such as test case generation, test data creation, defect triage, and regression analysis.
  • Develop and run AI evaluation (AI eval) frameworks and metrics to measure the accuracy, reliability, and performance of AI agents and Gen-AI-assisted testing workflows and iterate on prompts and agent design based on eval results.
  • Write efficient test automation code using coding standards and best practices. ...
Posted
a month ago

Texas Instruments

KL City

Posted
a month ago

Systems Limited - APAC

KL City

  • Define and drive the enterprise AI strategy, architecture roadmap, and governance framework aligned with business objectives.
  • Design scalable, secure, and cloud-native AI platforms to enable enterprise-wide AI adoption.
  • Architect and deliver Generative AI solutions leveraging LLMs, RAG frameworks, AI Copilots, Chatbots, and Intelligent Knowledge Systems. ...
Posted
a month ago

KL City

  • We are looking for a talented PERFORMANCE ENGINEER for our award-winning Information Risk Management products. You will be responsible for designing performance test architecture, test plans, executing performance tests and building performance benchmark for cloud and on-premises applications. Join a rapidly growing company that delivers solutions for an increasingly critical component of information technology.
  • Responsibilities
  • Strategy & Planning ...
Posted
a month ago

KL City

  • First-Principles Thinking: Sharp, logical, and deeply analytical mindsets capable of breaking down complex problems.
  • Execution & Velocity: Agile, highly responsive, and self-driven individuals with a strong drive for action.
  • Cognitive Agility: Exceptional ability to rapidly master sophisticated tech tools, modern AI tools, and complex systems. ...
Posted
3 days ago

KL City

  • Design, build and scale testing capabilities using AI agents – using GitHub Copilot Agent Mode on the GitHub Enterprise platform and the Microsoft AI Foundry stack – to automate testing tasks such as test case generation, test data creation, defect triage, and regression analysis.
  • Develop and run AI evaluation (AI eval) frameworks and metrics to measure the accuracy, reliability, and performance of AI agents and Gen-AI-assisted testing workflows and iterate on prompts and agent design based on eval results.
  • Write efficient test automation code using coding standards and best practices. ...
Posted
6 days ago

KL City

  • Drive Real Impact: Lead an assigned project from inception to completion, applying your technical and analytical skills to solve a tangible business challenge (e.g., optimizing rider routing, scaling vendor acquisition).
  • Accelerated Learning: Deepen your technical expertise (e.g., SQL, Python, campaign execution) by working with real, high-volume data that directly influences our market strategy.
  • Cross-Functional Collaboration: Navigate a fast-paced, agile environment, collaborating with stakeholders across different seniority levels and backgrounds (Local Teams, Regional Hubs). ...
Posted
7 days ago

Lavu Tech Solutions Sdn Bhd

KL City

Posted
6 days ago

KL City

  • Design, develop, and deploy AI-powered software applications and enterprise solutions.
  • Build and optimize AI Agents, Copilots, and Agentic AI workflows using modern LLM technologies.
  • Develop Retrieval-Augmented Generation (RAG) systems integrated with enterprise knowledge bases. ...
Posted
19 days ago

KL City

  • Architect and design end-to-end AI/ML solutions leveraging Azure ML, OpenAI APIs, and other Generative AI technologies.
  • Develop scalable and secure architectures for AI solutions that integrate with existing enterprise systems and workflows.
  • Define and implement best practices for model development, training, and deployment pipelines. ...
Posted
13 days ago

KL City

  • Own production serving, CI/CD, deployment, and monitoring of ML models.
  • Build and maintain model retraining, versioning, and deployment pipelines.
  • Manage ML infrastructure and optimize cloud costs through FinOps practices. ...
Posted
a month ago

KL City

  • Design, build and scale testing capabilities using AI agents – using GitHub Copilot Agent Mode on the GitHub Enterprise platform and the Microsoft AI Foundry stack – to automate testing tasks such as test case generation, test data creation, defect triage, and regression analysis.
  • Develop and run AI evaluation (AI eval) frameworks and metrics to measure the accuracy, reliability, and performance of AI agents and Gen-AI-assisted testing workflows and iterate on prompts and agent design based on eval results.
  • Write efficient test automation code using coding standards and best practices. ...
Posted
a month ago

KL City

  • Drive Real Impact: Lead an assigned project from inception to completion, applying your technical and analytical skills to solve a tangible business challenge (e.g., optimizing rider routing, scaling vendor acquisition).
  • Accelerated Learning: Deepen your technical expertise (e.g., SQL, Python, campaign execution) by working with real, high-volume data that directly influences our market strategy.
  • Cross-Functional Collaboration: Navigate a fast-paced, agile environment, collaborating with stakeholders across different seniority levels and backgrounds (Local Teams, Regional Hubs). ...
Posted
a month ago

KL City

  • Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment
  • Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.
  • Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment
Posted
a month ago

KL City

  • Lead a team of young and bright MLOps Engineers in conducting research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
  • Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.
  • Improve the level of automation in the development and deployment processes of machine learning. ...
Posted
12 days ago

KL City

  • Co-create a nine-stage property development value chain, then educate the people who run it
  • Take a process that three business units run three different ways, and make it one — without a consultant, a vendor, or a two-year programme
  • Sit inside a business unit for eight weeks and come out with a restructured operating model ...
Posted
a day ago

KL City

  • Model Quality & Workflow Design: Design, manage, and optimize end-to-end workflows to improve machine model performance in content policy enforcement — including signal detection, rejection accuracy, and leakage reduction. Develop training data pipelines, QA processes, and performance tracking systems aligned to model improvement goals.
  • Adversarial Testing & Risk Identification: Conduct structured adversarial testing on AI models, features, and content policies to surface vulnerabilities, edge cases, and emerging risk trends. Explore model behaviour across contexts and user journeys to identify failure modes not captured in standard evaluations.
  • Root Cause Analysis & Error Optimization: Conduct structured root cause analysis (RCA) on model errors — including overkills, leakages, and misclassification — and translate findings into actionable model improvement recommendations. Partner with Algo and product teams to close root causes through memory insertion, threshold adjustments, rewrite rules, or policy iteration. ...
Posted
6 days ago

KL City

  • Design and implement security controls for AI applications, LLM integrations, AI agents, and RAG-based systems
  • Identify and mitigate AI-specific threats such as prompt injection, jailbreaks, data exfiltration, model misuse, hallucination risks, and insecure tool/function calling
  • Secure prompt workflows, system prompts, agent instructions, retrieval pipelines, and AI orchestration layers ...
Posted
11 days ago

KL City

  • Job Summary:
  • We are looking for an AI Infra Engineer to support the development and operation of AI infrastructure platforms. The ideal candidate will have a strong background in Backend Engineering, Machine Learning Engineering, or MLOps, with hands-on experience in AI model training/inference deployment, cloud infrastructure, and GPU computing environments.
  • This role will work closely with algorithm teams to enable efficient utilization of AI computing resources, optimize AI workloads, and ensure reliable deployment of AI training and inference services. ...
Posted
17 days ago

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