MLOps Engineer

3 days ago

Cambourne, United Kingdom Remotestar Full time

At RemoteStar, we're currently hiring for one of our client based in Spain. Fixed-term contract ending in June 2026 Hybrid (3 days/week onsite) About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Required Qualification Bachelor's or master's degree in computer science, Engineering, or a related field. Mid or Senior:4+ 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, vectorization, 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. Great communication skills and a passion for working collaboratively in an international environment. Preferred Qualifications Experience in training “Mixture-of-Experts #J-18808-Ljbffr

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