Senior AI/ML Engineer

SNI European Union
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

SNI is seeking a Senior AI/ML Engineer for a 6-month contract with the possibility of extension. The role involves leading initiatives, building multi-agent architectures, and deploying large-scale models. The ideal candidate has experience with deep learning, NLP, and cloud platforms.

Key Highlights
Leading initiatives involving fine-tuning or distillation of large-scale models
Building or contributing to multi-agent architectures
Deploying large-scale models in production environments at scale
Experience with multimodal systems and cloud platforms
Technical Skills Required
Python TensorFlow PyTorch Scikit-learn Deep Learning NLP LLM fine-tuning Hugging Face Transformers AWS Azure GCP MLflow Kubeflow containerization LangChain LlamaIndex
Benefits & Perks
Remote work
Possible occasional in-person team sessions
Contract duration: 6 months with extension

Job 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 worldwide


www.sniconsulting.net


For one our clients based in Europe, we are currently looking for a Senior AI/ML Engineer.


Details:


  • Start date: ASAP
  • Contract Duration: 6 months with extension
  • Location: Fully remote, with possible occasional in person team sessions / workshops / gatherings (i.e. 1x quarter) likely to take place in Prague
  • US 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 tasks
  • Built or contributed to multi-agent architectures (e.g., LangGraph, AutoGen, crewAI) for distributed AI functionality
  • Experience with multimodal systems (e.g., combining image, text, or audio inputs)
  • Published work or contributions to leading AI research or open-source communities
  • Designed AI-first features involving feedback loops, human-in-the-loop systems, or adaptive behaviors



Skills:



  • 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




SNI 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.


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