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Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML…
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you…
SFORS is a trading company where traders succeed! We trade in the global financial markets and are among the key prop trading players and pre-market trading leaders. Our company owes its 20 years of success in the…
Lead a distributed data engineering team to build and maintain high-throughput ad-tech pipelines using Python, Spark, Flink, Kafka, and GCP, while owning on-call, cost, and CI/CD for streaming and batch systems.
Lead a new Dublin data engineering pod, building scalable streaming/batch pipelines (Spark, Flink, Kafka) on GCP and mentoring a distributed team across Hamburg and Bangalore.
Build and scale ML systems for programmatic ad-bidding optimization, including real-time auctions and yield models, using Python, TensorFlow, and PySpark.
Design and evangelize AI/ML solutions for healthcare clients, building predictive models, NLP workflows, and MLOps pipelines while ensuring compliance and scalability.
Build and optimize data infrastructure on GCP to power AI models (LLMs, VLMs, RAG) for an AI-powered medical companion, ensuring high-quality, compliant data pipelines for healthcare professionals and patients.
DevOps Engineer working hybrid from Kraków on a project for a leading banking & financial services organisation. Day to day: automating infrastructure and deployments, building CI/CD pipelines with Jenkins/Ansible, managing GCP (GKE, GCE, BigQuery, Vertex AI) via Terraform, and scripting in Python, Bash, and Groovy, plus big data tooling like Airflow and Hadoop. B2B contract at 180–240 PLN net/h.
Senior MLOps Solutions Engineer on the Pure Solutions team who designs and automates end-to-end MLOps pipelines and GPU-accelerated AI/ML reference architectures, integrating Pure Storage platforms (FlashBlade, FlashArray, Portworx) with Kubeflow, MLflow, and Ray. Day to day: CI/CD-driven pipeline automation, Terraform/Ansible-based infrastructure, and optimizing LLM inference with tools like NVID
Contract senior full-stack developer/DevOps engineer building Python web services, APIs, CI/CD pipelines and GCP cloud infrastructure, with AI-driven automation and data-platform work. Core stack: Python/FastAPI, Kubernetes, ArgoCD, GitLab CI/CD, Docker on GCP. Brussels-based, hybrid with remote possible, through end of 2026.
Darauf richtest Du Deinen Fokus: Strategische Beratung: Als vertrauensvolle Partner für CTOs, CISOs, HR Executives und IT Directors übersetzt Du strategische Geschäftsziele in konkrete Roadmaps für KI-gestützte und…
An Agentic AI Architect in Ireland designs and delivers enterprise-grade AI solutions built on Claude/Anthropic APIs, RAG, agentic workflows, and cloud platforms (AWS, Azure, GCP). Day to day they lead architecture, proof-of-concepts, deployment, and governance with client stakeholders, using Python, SQL, and modern LLM/ML tooling, with some travel required.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions…
📋 Tasks and responsibilities We are looking for a Full-Stack Developer / DevOps Engineer with strong Python expertise, solid cloud architecture skills and a pragmatic approach to building scalable solutions. In this…
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Owns AI security strategy and secures AI/ML systems (generative, agentic, traditional) against threats like deepfake phishing and model abuse, aligning with frameworks like NIST AI RMF and ISO/IEC 42001.
Own the design and deployment of AI-powered Accounts Payable solutions using Generative AI, Agentic AI, and LLM engineering to automate invoice processing and supplier workflows on EXL's Finance AI platform.
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