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

  • Variety of workplace arrangements including hybrid, remote, onsite.
  • Compensation commensurate with Consultant qualifications, experience, and other factors including geographic location, market, and operational factors.
  • An inspirational place for you to do your best work, be engaged in meaningful ways, and continually develop the skills, competencies, and qualities that set our team apart. ...
Posted
a month ago

KL City

  • Position Overview
  • We are seeking a Machine Learning Engineer to own the productionisation of computer vision models — taking trained models from research to reliable, optimised systems serving in production across both cloud infrastructure and on-device edge hardware. The role sits between model science and software engineering, requiring both ML systems depth and strong engineering discipline.
  • Key Responsibilities ...
Posted
19 days ago

KL City

  • Design, develop, and deploy machine learning models for fraud and AML detection, supporting both batch and real-time transaction scoring scenarios.
  • Build and maintain MLOps pipelines covering model training, validation, deployment, monitoring, and retraining workflows using modern tooling (e.g. MLflow, Tecton, or equivalent feature stores).
  • Collaborate with data engineers to design feature engineering pipelines and maintain the Predator feature dictionary and sync mechanisms. ...
Posted
4 days ago

KL City

  • Own and lead the end-to-end architecture, orchestration, and delivery of machine learning systems and pipelines, from problem framing to production
  • Lead technical discussions with MLOps Engineers and Data Scientists to drive sound system design decisions
  • Research, build and design robust, scalable machine learning systems and models that deliver measurable business value ...
Posted
10 days ago

KL City

  • Design, deploy and maintain scalable cloud and Kubernetes infrastructure for ML workloads, including container orchestration, autoscaling and production deployments
  • Build and maintain RESTful/gRPC APIs and messaging services to support ML inference, data processing and real-time or asynchronous workloads
  • Develop reliable ML deployment and MLOps pipelines, including Docker/Podman, CI/CD, model versioning, monitoring, logging and automated deployment/retraining workflows ...
Posted
6 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
a month ago

KL City

  • Design and implement agentic workflows and multi-step AI pipelines for X-One.
  • Build RAG, document extraction and structured-output capabilities.
  • Integrate LLMs with APIs, databases, rules engines and business workflows. ...
Posted
3 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
a day ago

KL City

  • Design and implement agentic workflows and multi-step AI pipelines for X-One.
  • Build RAG, document extraction and structured-output capabilities.
  • Integrate LLMs with APIs, databases, rules engines and business workflows. ...
Posted
3 days ago

KL City

  • ABOUT US
Posted
4 days ago

KL City

  • Designing, developing, and maintaining scalable data pipelines, BigQuery datasets, SQL transformations, and scheduled workflows that power Teleport's AI and Machine Learning products
  • Building, deploying, and optimizing Machine Learning models and Applied AI solutions, while collaborating with senior engineers to productionize forecasting models, AI agents, Retrieval-Augmented Generation (RAG) systems, and Large Language Model (LLM) applications
  • Working closely with Product, Data, and Engineering teams to translate business problems into reliable, production-grade AI capabilities by ensuring high-quality data, robust engineering practices, continuous model evaluation, and operational excellence ...
Posted
5 days ago

KL City

  • Duties:
  • 1 -Engagement Methodology
  • • Participate in requirement gathering using Working Backwards methodology ...
Posted
5 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
6 days ago

KL City

  • Conduct discovery sessions with business owners for well-defined projects and workstreams.
  • Design and build AI-powered automations, including AI agents, LLM-based workflows, and low-code automations.
  • Understand and map business processes before building solutions, clearly identifying what is and isn’t feasible. ...
Posted
7 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
7 days ago

KL City

  • Build, deploy and support approved AI use cases, agents and reusable assets for internal audit.
  • Develop tools, applications and extensions for audit use cases where custom (pro-code) development is required, balancing these with low-code and configurable solutions to keep tools maintainable and supportable.
  • Operate and maintain the audit AI lab, prompt library and use-case catalogue. ...
Posted
7 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
11 days ago

KL City

  • Design and develop AI agents and multi-agent systems for enterprise use cases.
  • Build agentic workflows using LangGraph, LangChain, and similar frameworks such as CrewAI, AutoGen, Semantic Kernel, or ADK.
  • Develop AI copilots/agents for troubleshooting and incident management. ...
Posted
11 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
11 days ago

KL City

  • Data Warehouse Architecture: Design scalable data warehouse solutions, defining data models, ETL/ELT pipelines, and integration patterns to support enterprise analytics.
  • AI Solution Delivery: Architect AI-powered applications such as intelligent automation, document processing, and decision-support systems, focusing on practical business outcomes.
  • LLM Integration: Architect solutions leveraging LLMs for use cases such as RAG, intelligent search, content generation, and workflow automation. Evaluate LLM providers and deployment strategies. ...
Posted
11 days ago

KL City

  • Own complex or cross-domain initiatives, turning ambiguous business needs into reliable production outcomes.
  • Design and evolve critical backend services and integrations, balancing security, scalability, with reliability, and maintainability.
  • Define quality and release approaches, resolve complex system outages or degradations, while driving improvements that prevent recurrence. ...
Posted
12 days ago

KL City

  • Design, build, and maintain ML infrastructure and tooling to support the full ML lifecycle (data preparation, training, evaluation, deployment, monitoring, and retraining).
  • Develop and maintain CI/CD pipelines for ML models, including automated testing, validation, and safe rollout/rollback strategies.
  • Implement robust model deployment patterns (batch, real-time, streaming) and ensure scalability, reliability, and low-latency performance in production environments. ...
Posted
13 days ago

KL City

  • Design and build scalable backend services and APIs for machine-learning and AI features.
  • Build and operate large-scale data pipelines for ingesting, processing and storing big datasets.
  • Deploy, serve and scale machine-learning models in production, including inference, embeddings and vector search. ...
Posted
13 days ago

KL City

  • Design, build, and maintain end-to-end machine learning pipelines on Databricks, covering data preparation, feature engineering, model training, evaluation, and deployment.
  • Develop production-grade Python and Spark solutions that adhere to software engineering best practices, secure coding standards, and code review processes.
  • Implement and manage MLOps capabilities, including MLflow, model versioning, lifecycle management, reproducibility, and deployment governance. ...
Posted
14 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
14 days ago

KL City

  • Strategic Leadership & Innovation to develop and execute the Group's long term R&D Strategy
  • Build and manage the innovation pipeline across all categories and markets.
  • Lead New Product Development (NPD), product renovation, engineering, cost optimization, product harmonization and identify emerging consumer trends, market opportunities and new technology ...
Posted
14 days ago

KL City

  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Prepare advanced data analyses and support in the presentation of results to business stakeholders
  • Work with team members and leads to define Data Science use cases using current and emerging technologies ...
Posted
15 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

Texas Instruments

KL City

  • Collaborate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.
  • Analyze and preprocess large datasets from manufacturing equipment, sensors, and logs to enable effective machine learning applications.
  • Lead proof-of-concept projects and pilot programs to demonstrate the value of AI applications in manufacturing settings. ...
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