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# Senior Ai/Ml Engineer

- **Company:** Sni
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Technology Consulting, Information Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Performance Tuning, Tensorflow, Workflow Management Systems, Information Technology Outsourcing, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Containerization, Scikit Learn, Kubernetes, HuggingFace, Machine Learning Operations
- **Published:** August 5, 2026
- **Apply:** https://www.buscojobs.com.es/senior-ai-ml-engineer-en-madrid-ID-365492058

## About the Role

Programming: Python (TensorFlow, PyTorch, Scikit-learn).
Advanced ML: Deep Learning, NLP, LLM fine-tuning, Hugging Face Transformers
Proven experience deploying LLMs (e.g., OpenAI, Anthropic, Mistral) into production environments at scale * Cloud & MLOps: AWS/Azure/GCP, MLflow, Kubeflow, containerization.
Strong knowledge of distributed systems and data engineering.
Strong knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems
Fluency in English

## Description

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwideFor one our clients based in Europe, we are currently looking for aSenior AI/ML Engineer .Details:Contract Duration:6 months with extensionLocation: Fully remote, with possible occasional in person team sessions / workshops / gatherings (i.e. 1x quarter) likely to take place in PragueUS hours overlap : Min. 2-6 pm CET (ideally until 7 pm CET)Scope:Led initiatives involving fine-tuning or distillation of large-scale models for specialized tasksBuilt or contributed to multi-agent architectures (e.g., LangGraph, AutoGen, crewAI) for distributed AI functionalityExperience with multimodal systems (e.g., combining image, text, or audio inputs)Published work or contributions to leading AI research or open-source communitiesDesigned AI-first features involving feedback loops, human-in-the-loop systems, or adaptive behaviorsSkills:Programming: Python (TensorFlow, PyTorch, Scikit-learn).Advanced ML: Deep Learning, NLP, LLM fine-tuning, Hugging Face TransformersProven experience deploying LLMs (e.g., OpenAI, Anthropic, Mistral) into production environments at scale * Cloud & MLOps: AWS/Azure/GCP, MLflow, Kubeflow, containerization.Strong knowledge of distributed systems and data engineering.Strong knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systemsFluency in EnglishSNI sp.z o.o. will process personal data for the purpose of the recruitment process in accordance with Data Privacy Policy.The data may also be stored and processed for future recruitment purposes, in accordance with the given consent.Seniority levelMid-Senior levelEmployment typeContractJob functionInformation Technology and ConsultingIndustriesIT Services and IT Consulting and Information Services#J-*****-Ljbffr


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