67 Machine Learning Engineer Jobs in Federal Territory - September 2026 - High Salaries

Showing 67 jobs results for "machine learning engineer" in Federal Territory
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KL City

  • Use AI responsibly to accelerate engineering productivity while retaining accountability for code quality, design correctness, testing, security, and production readiness.
  • Partner with product owners, architects, security, operations, and business stakeholders to translate business outcomes into executable engineering plans.
  • Review solution designs, code, tests, and operational readiness to ensure consistency with enterprise architecture, security, compliance, and engineering standards. ...
Posted
19 days ago

KL City

Posted
19 days ago

KL City

  • Validate application functionality through the implementation of test strategies, automation frameworks, tools, and dashboard.
  • Participate in planning and documentation of test strategies and acceptance criteria based on customer needs.
  • Participate in test execution (automated and manual) (new builds and regression), analyze the reports, troubleshoot and investigate the failure. ...
Posted
19 days ago

Texas Instruments

KL City

Posted
20 days ago

Systems Limited - APAC

KL City

  • Design and implement Agentic AI and Multi-Agent Systems (MAS) to automate complex business processes and decision-making.
  • Develop AI orchestration, prompt engineering, model customization, and Human-in-the-Loop (HITL) frameworks.
  • Build and oversee end-to-end AI/ML platforms, including model development, deployment, monitoring, and optimization. ...
Posted
20 days ago

KL City

  • · Design performance test architecture, strategy, and test plans for both cloud-native and on-premises applications.
  • · Build performance test workload models that accurately simulate real world load scenarios.
  • Test Development & Execution ...
Posted
20 days ago

KL City

  • Analyze complex datasets to uncover actionable insights that support data-driven decision-making across the business.
  • Build dashboards and visualizations that communicate impactful insights and enable informed business decisions.
  • Apply Machine Learning Operations (MLOps) practices to manage and deploy models in production environments using the Azure cloud platform, Docker, and Continuous Integration/Continuous Delivery (CI/CD) pipelines. ...
Posted
23 days ago

KL City

  • Integrate LLMs, vector databases, RAG pipelines, and AI-driven automation solutions.
  • Implement Infrastructure as Code (IaC) using Terraform.
  • Build and maintain robust CI/CD pipelines for application deployment and automation. ...
Posted
25 days ago

KL City

  • Build and operate monitoring and observability for ML systems (data drift, model performance, system health), and define alerting/incident response processes.
  • Partner with Data Scientists and ML Engineers to productize models, including feature engineering pipelines, model packaging, and environment standardization.
  • Collaborate with Data Engineering to integrate ML workloads into data platforms and pipelines, ensuring data quality, lineage, and governance. ...
Posted
a month ago

KL City

  • Experience implementing MLOps practices across the model lifecycle (CI/CD, versioning, monitoring, reproducibility)
  • Experience working with security, risk, and governance teams to evidence controls for data and AI services.
  • Hands-on experience with core ML engineering tooling and practices (e.g., Python packaging, Git, CI/CD, automated testing, and containerisation/serving patterns where applicable). ...
Posted
a month ago

KL City

  • Build and maintain CI/CD pipelines for machine learning solutions, enabling automated testing, packaging, deployment, and environment management.
  • Monitor production ML models and data pipelines, proactively addressing performance, data quality, model drift, latency, and operational issues.
  • Collaborate with data engineering, data science, security, and governance teams to deliver reliable, scalable, and compliant AI/ML solutions. ...
Posted
a month ago

KL City

  • 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
a month ago

KL City

  • Oversee AI Model Development: Guide design, development, and deployment of scalable AI models, solutions, and data pipelines.
  • Cross-Functional Integration: Collaborate with operations, engineering, commercial, and other teams to integrate AI capabilities into day-to-day tools and processes.
  • Benchmark External Advancements: Monitor and evaluate industry AI trends, bringing leading practices back into the organization. ...
Posted
a month ago

KL City

  • Integrate Large Language Models (LLMs) such as OpenAI, Anthropic Claude, Gemini, DeepSeek, Qwen, and other foundation models into business applications.
  • Design scalable backend services and APIs to support AI applications.
  • Integrate AI solutions with third-party systems including ERP, CRM, HRMS, databases, and cloud services. ...
Posted
11 days ago

KL City

  • Evaluate and select appropriate Generative AI models (e.g., GPT, DALLE) based on business needs, ensuring alignment with use case requirements.
  • Collaborate with data scientists, engineers, and business stakeholders to design, develop, and fine-tune machine learning models.
  • Create and deploy pipelines for model training, evaluation, and monitoring in Azure ML. ...
Posted
5 days ago

KL City

  • Implement observability, alerting, model drift detection, and performance monitoring.
  • Own production incident response, troubleshooting, and on-call responsibilities.
  • Collaborate with Data Scientists and ML Engineers to design scalable, production-ready systems. ...
Posted
18 days ago

KL City

  • Validate application functionality through the implementation of test strategies, automation frameworks, tools, and dashboard
  • Participate in planning and documentation of test strategies and acceptance criteria based on customer needs.
  • Participate in test execution (automated and manual) (new builds and regression), analyze the reports, troubleshoot & investigate the failure. ...
Posted
19 days ago

KL City

  • Professional Development: Gain access to Foodpanda's e-learning tools and internal training modules to enhance your leadership and project management capabilities.
  • Essential Requirements (Non-Negotiable for Compliance)
  • Citizenship: Candidates must be Malaysian Citizens (a strict mandate for MySIP/DTD compliance). ...
Posted
22 days ago

KL City

Posted
19 days ago

KL City

  • Conduct testing, troubleshooting, and bug tracking to ensure software quality
  • Collaborate with the team to translate business requirements into technical solutions
  • Create documentation and training materials for internal users ...
Posted
a month ago

KL City

  • Tackle real-world data challenges — sparse/noisy labels, class imbalance (rare events vs. long stretches of background noise), and environmental noise specific to tropical climates.
  • Work with our software engineering team to get models deployed efficiently for real-time inference on edge hardware at customer sites.
  • Direct experience working with large-scale time-series or waveform sensor data — seismic, DAS, acoustic/vibration monitoring, sonar/radar, or similarly structured continuous signal data. This is the single most important qualifying experience — general ML/AI backgrounds without time-series signal exposure are not a strong fit. ...
Posted
a month ago

KL City

  • Evaluate and select appropriate Generative AI models (e.g., GPT, DALLE) based on business needs, ensuring alignment with use case requirements.
  • Collaborate with data scientists, engineers, and business stakeholders to design, develop, and fine-tune machine learning models.
  • Create and deploy pipelines for model training, evaluation, and monitoring in Azure ML. ...
Posted
a month ago

KL City

  • Collaborate closely with IT operations and DevOps teams to ensure the smooth integration of infrastructure platforms with other applications and processes.
  • Establish and maintain systems for monitoring machine learning models in production. Oversee the development of machine learning models at MoneyLion to ensure proper model governance.
  • Effectively manage cloud infrastructure costs by monitoring and optimizing spending, and provide transparency and accountability in cost-related matters. ...
Posted
4 days ago

KL City

  • Assess risks in LLM APIs, vector databases, embeddings, knowledge bases, and external tool integrations
  • Ensure secure handling of sensitive data across AI applications, including user inputs, retrieved context, prompts, and model outputs
  • Conduct threat modeling for AI-based solutions, AI agents, and enterprise AI assistants ...
Posted
3 days ago

KL City

  • Key Responsibilities:
  • • Operate and maintain GPU-based AI infrastructure, including AWS cloud and bare-metal GPU Kubernetes (K8s) clusters.
  • • Support GPU cluster setup, monitoring, troubleshooting, and incident resolution. ...
Posted
9 days ago

KL City

  • Justify the quality and value of the solution.
  • Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex problems.
  • Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production. ...
Posted
10 days ago

KL City

  • Key Responsibilities:
  • • Operate and maintain GPU-based AI infrastructure, including AWS cloud and bare-metal GPU Kubernetes (K8s) clusters.
  • • Support GPU cluster setup, monitoring, troubleshooting, and incident resolution. ...
Posted
11 days ago

KL City

  • Conduct AI security testing, adversarial testing, and red-team exercises.
  • Perform AI privacy reviews covering PII, prompts, outputs, and logs.
  • Partner with AI Governance and Platform Engineering to strengthen security posture. ...
Posted
11 days ago

KL City

Posted
10 days ago

KL City

Posted
10 days ago