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Schwarz Digits in Barcelona is hiring a Cloud Data & AI Engineer to help develop a sovereign Data and AI platform within its Central Services division. Day-to-day involves cloud development in an agile team, with core technologies Golang, Kubernetes, and general software development.
Senior Data AI Engineer at Funditec Intelligence (its applied AI unit) leading the design of advanced AI solutions in cybersecurity and digital transformation. Day to day: coordinating architectures, validating models, and mentoring, with ML, MLOps and large-scale data analytics on R&D projects.
Data & AI Software Engineer at Schwarz Gruppe's Barcelona center, building and operating data, analytics and ML pipelines using modern DevOps practices. Core stack includes Azure, Kubernetes, Spark, SQL and Python/Java/Scala, working in an interdisciplinary, agile team.
Develops, implements, and integrates AI/ML models into software applications in Soweto, collaborating with data scientists to turn prototypes into production-ready code, building APIs for AI features, and optimizing AI workloads across the full SDLC. Core stack: Python/Java/C++ with TensorFlow, PyTorch, and scikit-learn.
A GenAI engineer at EtonHouse builds AI features and dashboards for school operations, working with Azure OpenAI, SQL, Python, and BI tools. Day to day they create ETL pipelines, integrate APIs, monitor solutions with Application Insights, and collaborate with teachers and IT teams.
MARGO's AI practice in Paris is hiring an AI Engineer to design, deploy, and maintain generative-AI solutions for clients: agentic/multi-agent architectures, RAG pipelines, and LLM monitoring (LLMOps). Core stack includes Python, GenAI frameworks (LangChain, LlamaIndex), vector databases, Docker/Kubernetes, and tools like LangSmith and MLflow.
AI Engineer in MARGO's Paris-based AI practice, focused on AI4Code: deploying and optimizing coding assistants (Copilot, Claude Code, Cursor), building autonomous agents and agentic pipelines for code generation, refactoring and legacy modernization, and industrializing solutions with LLMOps. Core stack: Python, TypeScript/Java/C#, and current LLMs.
Builds AI-powered agents and internal tools using frameworks like LangChain and React, integrating with enterprise systems (ERP, HRIS) and deploying on cloud infrastructure.
Senior AI & GenAI Architect in NTT DATA's 'AI Delivery' business unit in Hamburg: you design and develop AI/GenAI solutions, take technical ownership of complex client requirements, and advise customers strategically while collaborating with international teams. Core focus areas include Python, machine learning, APIs, and software architecture.
Applied AI Engineer, Inference at CoreWeave. Improve real-world performance of AI models via benchmarking, profiling, and optimization.
Senior Product Manager for W&B Models, an experiment tracking platform for AI researchers. Focuses on optimizing the workflow for designing, visualizing, monitoring, and analyzing AI training experiments, bridging the gap between frontier labs and enterprise teams. Drives product roadmap and user experience improvements based on deep technical and user insights.
Builds and supports enterprise applications, APIs, and AI-powered automation for the Finance, Actuarial, and Insurance functions of a technology-driven annuity carrier. Day to day: Python development on cloud platforms plus generative AI work with LLMs, RAG, and workflow automation for reporting, forecasting, and document processing.
Product Manager at Citigroup building first-of-a-kind Generative AI platforms and AI gateways used across the global bank. Day to day: shaping product strategy, leading enterprise-scale delivery of mission-critical GenAI products, and partnering closely with engineers, designers and senior stakeholders.
A Vice President-level Production AI Engineer at Citigroup in London who designs, builds, and operates intelligent systems underpinning Citi's global production environment. The role combines software craftsmanship, AI-native development, and large-scale distributed systems as part of a multi-year technology transformation.
Builds and optimizes AI-powered software for a client in Vereeniging, translating machine learning models into robust, scalable production applications alongside data scientists and product managers. Core stack includes Python/Java/C++ and TensorFlow/PyTorch/Scikit-learn, with cloud platforms and MLOps a plus; hybrid work model.
Lead the implementation of AI/ML initiatives for WHO's European region — designing prototypes and internal/external applications, managing cloud-based AI workloads and near real-time data pipelines, and mentoring a team of AI and software professionals.
Build and test LLM-powered workflows for document extraction and automation, focusing on prompt engineering, OCR, and reliable AI outputs in real business contexts.
Senior AI engineer (remote from Pakistan, US EST hours) building CloudPSO's enterprise voice-agent platform: designs, trains, and deploys STT/NLU/TTS models, builds MLOps pipelines and inference APIs, optimizes latency, and creates frontend prototypes/dashboards. Core stack: Python, PyTorch/TensorFlow, cloud AI platforms, plus React/Vue/Angular.
Principal-level engineer building next-generation multi-robot/swarm collaboration systems: distributed task allocation, real-time robot-to-robot and robot-to-cloud pipelines, and ROS2 autonomy stacks, prototyped in simulators (Gazebo, Isaac Sim, Webots) and validated on physical robots using Python/C++.
Johnson Controls International (JCI) is seeking a Senior AI Engineer- Data Analytics to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for a seasoned expert with a deep…
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