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Ingénieur DevOps H/F
Build and deploy cloud-native applications for clients using Ansible, Kubernetes, and CI/CD pipelines (Jenkins/GitLab) while optimizing performance, security, and resilience.
Développeur Full-Stack IA H/F
Build and deploy full-stack AI applications using Python backends, React/Angular frontends, and LLM integrations (RAG, agents) with PostgreSQL vector stores and Kubernetes CI/CD pipelines.
SR PLATFORM ENGINEER/ DEVOPS /GenAIOps (Senior) REMOTO ARGENTINA, ID #00244
Senior DevOps engineer builds and scales GPU-powered AKS/EKS clusters for LLM inference and fine-tuning, automates CI/CD pipelines, and implements GenAIOps observability and cost controls.
Software developer senior - ia
Senior software engineer building AI solutions in Python/.NET, integrating LLMs, RAG, and MCP with cloud and vector databases to enable scalable, secure AI across the company.
Secure Data Engineer - Birmingham
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Staff AI Platform Engineer (Remote)
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes.
Senior AI Platform Engineer (Remote)
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, rate-limit, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes and AWS.
Tech S And T-Cloud AI Platform Engineer-ISR-Senior-GDSF02
Senior engineer building and scaling cloud-native AI platforms, automating MLOps/LLMOps pipelines, and containerizing workloads with Kubernetes and FastAPI.
Manager AI Engineering
Lead a team to build enterprise-scale generative AI and agentic systems using LLMs, RAG, and multimodal pipelines for Mastercard’s Business & Market Insights group.
Principal Cloud Solution Engineer-TAM
Senior cloud specialist guiding enterprise clients through Oracle Cloud (OCI) adoption, designing solutions and mentoring teams to drive successful migrations and implementations.
AI & Data Platform Architect
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
AI Techno-Functional Program Manager
Lead AI/ML and Generative AI projects from concept to production, coordinating cross-functional teams and ensuring Responsible AI compliance while driving enterprise adoption and performance tracking.
Director, Oncology Commercial Data Science & AI Products
Lead the end-to-end development of AI-powered commercial and medical products for oncology, including GenAI tools and predictive models, to drive measurable field adoption and patient outcomes.
AI & Data Platform Architect
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Senior AI Engineer (Remote)
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
A&I - Senior Data Architect
Design and modernise a cloud-based data platform for a large online gambling operator, focusing on lakehouse architectures, Spark pipelines, and AI-driven personalisation while ensuring regulatory compliance.
Sr. AI Engineer
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Agility & Strategic Intelligence Architect, AVP
Design and build AI-driven financial solutions for Morgan Stanley at Work, focusing on Generative AI enablement, LLM integrations, and data pipelines to support equity and retirement platforms.
Manager, AI Enablement
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
AI Engineer
Build and deploy AI systems using LLMs, RAG pipelines, and agent frameworks like LangChain and Hugging Face, then run them on cloud platforms such as AWS or Azure.