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Tasks Role purpose We are looking for an AI Solution Architect who can design end-to-end AI and Generative AI solutions and guide them from business discovery to production readiness. The role requires strong…
Tasks Role purpose Lead AI Engineer responsible for taking AI and Generative AI solution designs from architecture into working, production-ready software. The role leads technical implementation, guides developers,…
The Data Engineering Lead will design and govern the data architecture for AI and machine learning initiatives, focusing on building production-ready pipelines between AWS and Azure. This hands-on leadership role involves managing engineering resources to support data science teams while ensuring compliance with security and governance standards.
The Lead Full Stack Developer will lead a team in building and architecting secure digital banking platforms using Angular, Node.js, and AWS serverless technologies. The role involves integrating Generative AI and LLM capabilities into enterprise workflows while ensuring compliance with financial regulations.
Principal AI Data Scientist at Anaplan in London designs and deploys advanced AI models, including generative and predictive systems, to enhance enterprise planning and decision-making using Python, LLMs, and MLOps.
Principal Data Scientist at Anaplan builds and deploys AI models, including LLMs and generative systems, to enhance enterprise planning and decision-making using Python and cloud infrastructure.
Principal Machine Learning Engineer at Anaplan builds and deploys AI features for business planning, integrating LLMs, prompt engineering, and conversational interfaces into production systems using Python and MLOps practices.
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
The Senior Data Engineer will design and maintain scalable cloud-native data pipelines and Data Lakehouse architectures to support evidence-based decision-making. The role involves leveraging modern data engineering tools like Python, SQL, Spark, and Kafka while implementing infrastructure as code and MLOps practices.
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
Senior SRE Engineer at Navan in Tel Aviv builds and maintains reliable, scalable platforms for AI-powered travel and expense systems, focusing on observability, automation, and AI provider integrations.
Senior AI Engineer designing and operationalizing ML/AI solutions—predictive models, GenAI assistants, RAG workflows, and agents—for Teradyne's IT organization, building MLOps/LLMOps pipelines and production-grade practices using Azure AI Foundry, Copilot Studio, Anthropic Claude, Vertex AI, and Snowflake.
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
About the team Digital Enablement is Nexperia's fast-track enabler of AI & Digital use-cases and platform enablement. We operate as one global practice across Nijmegen, Hamburg, Kuala Lumpur, Seremban and…
Design, build, and deploy AI applications and agentic systems (LLMs, orchestration, RAG, tool use) that solve real business problems across Stingray's departments, applying strong software engineering principles.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
The AI Engineer will develop and deploy AI solutions using Python, focusing on large language models, generative AI frameworks, and MLOps/LLMOps practices.
Designs and maintains cloud-native DevOps pipelines, integrates AI agents into workflows, and ensures scalable, observable infrastructure for modern deployments.
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