Senior ML/AI Engineer — NLP, LLMs & Production Systems

Colonial Group; Polska; Presencial; PLN 180 000 - 280 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

MS/PhD encouraged

Publications in related domain

LLM inference/serving experience

Linux experience

Resumo da oferta

Accuris is seeking a Senior ML/AI Engineer to drive NLP, information retrieval, and unstructured content understanding projects. You will design and deploy deep learning and LLM-powered systems, build efficient training and inference pipelines, and ensure scalable production delivery.

A strong background in PyTorch, Python, and modern NLP tools is required. The role emphasizes experimentation, scientific rigor, and collaboration with an action-oriented team to advance AI capabilities across our

Qualificações

• BS degree in math and computer science, or related field.
• 4+ years of experience in ML/AI engineering.
• Experience in NLP and/or Information Retrieval.
• Strong understanding of deep learning methods.
• Experience with ML/DL frameworks like PyTorch.
• Experience with NLP libraries including Hugging Face Transformers.
• Algorithmic skills.
• Proficient in Python.
• English language (B1+)

Responsabilidades

• Building and optimization of LLM-based solutions.
• Building and optimization of ML/DL training, testing and inference pipelines.
• Design and building of DL/ML-based systems optimized for production.
• Development and optimization of production inference and data pipelines.
• Delivering AI/ML solutions to production.
• Analysis, transformation and bootstrapping of datasets.

Conhecimentos

NLP

Information Retrieval

Deep Learning

PyTorch

Transformers

Python

English

Formação académica

BS in Math/CS

Ferramentas

PyTorch

Hugging Face Transformers

Descrição da oferta de emprego

Accuris is seeking a Senior ML/AI Engineer to drive NLP, information retrieval, and unstructured content understanding projects. You will design and deploy deep learning and LLM-powered systems, build efficient training and inference pipelines, and ensure scalable production delivery.

A strong background in PyTorch, Python, and modern NLP tools is required. The role emphasizes experimentation, scientific rigor, and collaboration with an action-oriented team to advance AI capabilities across our