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Position Summary Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure…
As a remote AI Engineer for MicroSourcing (Philippines), you design, build, and deploy machine learning models and pipelines to solve business problems — preprocessing data, training and validating models, and monitoring them in production using Python, TensorFlow/PyTorch, and cloud/MLOps tooling.
12+12+12 month contract (via Recruitment Hive) for a major Federal Government agency: a Senior Azure Cloud AI Engineer designs, builds and runs secure, scalable cloud platforms powering AI/ML and generative AI services, leading end-to-end solution design and DevSecOps. Based in Canberra ACT (candidates considered from QLD, WA, ACT, VIC, NSW or SA); $140-$185/hour incl. super.
AI Platform Lead Financial Services Client | Hong Kong About the Role We are seeking an experienced AI Platform Lead to build and scale the enterprise AI platform that powers the next generation of AI applications…
Essential Functions: Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes. Design, implement, monitor,…
We are seeking a talented Senior Advanced Software Engineer to support our MLOps, LLM and agentic AI integration, Databricks administration, data lake management, and cloud platform initiatives. The ideal candidate…
You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to…
ML mühəndisi Vakansiya haqqında Şirkət: Azerconnect Group Funksiya: Adtech İş qrafiki: Həftənin 5 günü saat 09:00-dan 18:00-dək. Son müraciət tarixi: 30.10.2026 Azerconnect Group NEQSOL Holding beynəlxalq şirkətlər…
We are seeking an experienced ModelOps Lead to drive enterprise-scale AI, Generative AI, and ModelOps initiatives across Machine Learning and LLM platforms. The ideal candidate will have 7+ years strong hands-on…
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
Data Engineer on Generali Italia's Data Technologies, Analytics & BI team, designing cloud-native data pipelines, lakehouse ingestion, and backend data services that power analytics, AI/ML, and GenAI products. Daily work centers on Python/SQL/Scala, Spark/PySpark, cloud platforms (AWS/Azure/GCP), and MLOps practices alongside data scientists and SREs.
Build and operate ML/LLM platforms for a Korean neobank, focusing on stable, scalable, and secure model training, deployment, and serving using tools like MLflow, Kubeflow, Triton, and vLLM.
Intermediate software engineer at Kriterion in Pretoria building full-stack features for Cerberus, a cloud-native predictive maintenance platform that turns AI insights on sensor-rich machinery into dynamic user interactions. Stack includes React/TypeScript on the frontend and Python/FastAPI/Firestore with Apache Beam, TensorFlow (TFX) and Kubeflow for AI/data workflows.
An AI Engineer who designs, develops, and deploys machine learning models for production — building training/evaluation pipelines, monitoring model performance, and integrating AI into applications alongside data scientists and product teams. Core stack is Python with TensorFlow/PyTorch/scikit-learn, cloud platforms, and ML Ops tooling.
Engineer on HTX's xCloud team building the AI platform for Singapore's public safety agency: designing ML infrastructure (Kubeflow, MLflow, RunAI), automating CI/CD and ML pipelines with DevSecOps practices, and writing infrastructure-as-code on-site in Singapore.
DevOps/Platform engineer at Kaltura who designs, builds, and operates distributed AI production systems at high scale on AWS and GCP — owning projects end-to-end from design to production, including GPU inference infrastructure, Kubernetes/Docker/Helm, CI/CD, and observability, working with Platform, AI Labs, and AI/ML researchers.
Data engineer at a Leeds-based data consultancy, deployed onto varied client projects to deliver data-focused solutions. Day-to-day work centres on SQL, Python, BigQuery, data warehousing and Docker across a cloud-agnostic, mainly Azure stack (AWS/GCP also used), with optional ML and marketing-API work.
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