Search Jobs
Search by job, company or skills
Search by job, company or skills
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Capgemini was founded by Serge Kampf in 1967 as an enterprise management and data processing company. The company was founded as the Société pour la Gestion de l'Entreprise et le Traitement de l'Information (Sogeti).In 1974 Sogeti acquired Gemini Computers Systems, a US company based in New York.In 1975, having made two major acquisitions of CAP (Centre d'Analyse et de Programmation) and Gemini Computer Systems, and following resolution of a dispute with the similarly named CAP UK over the international use of the name 'CAP', Sogeti renamed itself as CAP Gemini Sogeti.
Job ID: 149012903
Skills:
bedrock , Lambda, Python, AWS, experiment tracking, versioning, model deployment, data versioning, Monitoring, cost optimisation, SageMaker, infrastructure-as-code
Skills:
Cuda, Kubernetes, Python, TensorRT-LLM, DeepSpeed, experiment tracking, Triton kernel development, FlashAttention, Megatron-LM, evaluation automation, Nsight Systems, speculative decoding, vLLM, MLOps workflows, model registry, NVIDIA Triton, multi-LoRA serving, DCGM, NCCL, quantization
Skills:
MLops, Azure, Databricks, Data Modeling, Python, Sql, MLflow
Skills:
Bash, Kubernetes, Python, Unix command line toolkit, ML and AI concepts, ML model development
Skills:
Bash, Kubernetes, Python, Unix command line toolkit, CI CD CT pipelines, ML and AI concepts, ML model development
We don’t charge any money for job offers
