Senior AI/ML Engineer

SNI; España; A distancia; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A leading IT outsourcing firm is looking for a Senior AI/ML Engineer to lead initiatives in fine-tuning large-scale AI models and build distributed AI architectures. The role is fully remote with some in-person sessions in Prague. Key qualifications include advanced skills in Python, deep learning, and experience deploying LLMs. Ideal candidates have strong knowledge of cloud platforms and multi-agent systems.

Formación

• Experience deploying LLMs into production environments at scale.
• Strong knowledge of distributed systems and data engineering.
• Experience with agent-based systems.

Responsabilidades

• Lead initiatives involving fine-tuning large-scale models for specialized tasks.
• Building multi-agent architectures for distributed AI functionality.
• Design AI-first features involving feedback loops.

Conocimientos

Python (TensorFlow, PyTorch, Scikit-learn)

Deep Learning

NLP

LLM fine-tuning

Hugging Face Transformers

AWS/Azure/GCP

MLflow

Kubeflow

Fluent in English

Herramientas

LangChain

LlamaIndex

Descripción del empleo

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:

• 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

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Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology and Consulting

Industries

• IT Services and IT Consulting and Information Services