Descripción de la oferta
MLOps Engineer - Barcelona - 3 days onsite -Fixed Term Permanent RoleLos candidatos deben tomarse el tiempo de leer atentamente todos los elementos de este anuncio de empleo. Por favor, envíen su solicitud sin demora.As a MLOps Engineer, you will: Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients. Join a world-class team of Quantum experts with an extensive track record in both academia and industry. Collaborate with the founding team in a fast-paced startup environment. Employ automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to enhance ML/LLM processes throughout the Large Language Model lifecycle. Establish and maintain comprehensive monitoring and alerting systems to track Large Language Model performance, detect data drift, and monitor key metrics, proactively addressing any issues. Conduct truth analysis to evaluate the accuracy and effectiveness of Large Language Model outputs against known, accurate data. Collaborate closely with Product and DevOps teams and Generative AI researchers to optimise model performance and resource utilisation. Manage and maintain cloud infrastructure (e.G., AWS, Azure) for Large Language Model workloads, ensuring both cost-efficiency and scalability. Stay updated with the latest developments in ML/LLM Ops, integrating these advancements into generative AI platforms and processes. Required Qualification Bachelor's or master's degree in computer science, Engineering, or a related field. Mid or Senior: 3+ years of experience as an ML/LLM engineer in public cloud platforms. Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring. Expertise in cloud platforms (e.G., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering. Expertise in model parallelism in model training and serving, and data parallelism/hyperparameter tuning. Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM. Expertise in with generative AI applications and domains, including content creation, data augmentation, and style transfer. Strong understanding of Generative AI architectures and methods, such as chunking, vectorisation, context-based retrieval and search, and working with Large Language Models like OpenAI GPT 3.5/4.0, Llama2, Llama3, Mistral, etc. Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre. Experience with Perfect English, Spanish is a plus. In accordance with local employment laws, applicants must have current, valid authorisation to work in Germany at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Spain cannot be considered. xqbhyrx If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (
