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Azienda Elmec Informatica Sede Brunello, Italia Professione/ Funzione ICT e Sistemi informativi Tipo di sede di lavoro Lavoro a distanza Siamo un’ azienda italiana al 100% e ci occupiamo d’informatica da oltre 50 anni…
Internal Coupang transfer role: a Staff ML Engineer on the Coupang Media Group Offsite Ads team in Seattle designs and ships machine learning systems for ad targeting, ranking, bidding, and CTR/CVR prediction, using Python/Java, PyTorch, LLMs, and large-scale ML infrastructure.
Software engineer on DoorDash's MDX team building the agentic layer of its ML infrastructure: systems that let AI agents run modeling experiments, auto-research ideas, and self-heal ML pipelines for engineers across DoorDash, Wolt, and Deliveroo. Core work spans backend Python, distributed systems, agent orchestration, evaluation, and observability.
Build scalable, fault-tolerant systems and APIs for core business logic like inventory and payments using Kotlin, Scala, and data technologies like Kafka and Spark.
Designs and leads CoreWeave’s Kubernetes-native orchestration platform for AI workloads, including SUNK, while setting long-term architecture and mentoring senior engineers.
Data Engineer at AllCloud joining the development team for a core data warehouse project and AI initiatives: ingesting large volumes of data, building and optimizing large-scale data pipelines in cloud and on-prem environments, and analyzing data alongside Data Scientists. Core stack includes Python, Spark, dbt, Airflow/Kubeflow, Docker/Kubernetes and AWS data services.
Builds and operates the AI/ML platform at Cambridge Mobile Telematics: running LLM applications and model services on AWS and Kubernetes/EKS, automating training and deployment workflows with Terraform, Helm, and Argo CD, and owning monitoring, cost controls, and incident response for engineering and ML teams.
System Architect at Fetcherr Labs owning the end-to-end technical foundation of a new agentic mid-market product: standing up a greenfield Azure, Kubernetes-native platform with IaC, GitOps and CI/CD, writing core Python code, leading engineers by example, building an AI-agent-driven SDLC, and designing integrations into host platforms.
Senior data scientist at Zoro, a B2B eCommerce platform selling tools and industrial supplies, who leads end-to-end ML projects (forecasting, segmentation, search relevance, recommendations). Day-to-day work spans Python, SQL, cloud platforms (GCP/AWS), deep learning frameworks, learning-to-rank models, and LLM/genAI applications with production-grade code.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
OpenTeams (founded by NumPy creator Travis Oliphant) is hiring a Senior Engineering Architect to own end-to-end architecture of a secure AI test and evaluation platform for U.S. Government customers. The fully remote U.S. role centers on Python, open-source AI tooling (PyTorch, JAX, Ray, Kubeflow), ML infrastructure, and secure cloud-native system design.
DevOps Engineer on the Allianz AI Factory's Personal Productivity Team in Barcelona, designing and maintaining CI/CD pipelines, cloud infrastructure, and automation for AI product delivery. Core stack includes Terraform/Ansible, AWS/Azure/GCP, Docker/Kubernetes, Jenkins/GitLab CI/GitHub Actions, and Python/Bash.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Builds and maintains production-grade AI solutions on Azure for Pentland Brands — intelligent agents, generative AI apps, and ML pipelines — while also handling BAU support for production APIs and the Azure platform (App Service, Azure SQL, Storage, SFTP). Core stack: Python, .NET/C#, SQL, LLMs/RAG, and agent frameworks like LangChain/LangGraph.
Data scientist / machine learning engineer for the Belgian Federal Police in Antwerp, building tools that automatically process, structure, link, and analyze large datasets (bank transactions, telecom, logistics, open sources) to uncover criminal networks, money flows, and anomalies. Core stack: Python, ML Ops tooling (Git, MLflow), and SQL/NoSQL databases; Dutch and English required.
Builds and runs the backend services, SDKs, and deployment tooling behind inDrive's ML platform — writing production-grade Go and Python, integrating ML workloads via gRPC/Kafka, and learning the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) while owning services from design through on-call.
Мы строим платформу LLM‑инференса, обслуживающую как внутренние, так и продакшен-сервисы. Наша миссия — обеспечить стабильный, масштабируемый и экономичный сервинг больших языковых моделей. Мы ищем инженера, который…
Company: 1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific,…
Develop and maintain full-stack applications for defense-related bioanalytics and AI initiatives. You will build scalable software and bioinformatics tools using Python (Flask), React, and AWS-based microservices while working on-site in a secure environment.
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