TL;DR

AI Engineer (AI): Responsible for the entire lifecycle of cutting-edge AI models, from design and rigorous training to integration into customer-facing products with an accent on solving complex problems using Machine & Deep Learning, GenAI & LLMs. Focus on delivering tangible production value and shaping product innovation.

Location: Hybrid work model in Warszawa

Company

%hirify_global% is a telecommunications company.

What you will do

Design, develop, and deploy machine learning, deep learning, and GenAI models to solve complex business problems.
Build and optimize data pipelines for training, validation, and inference.
Conduct experiments to improve model accuracy, performance, and efficiency.
Integrate AI models into production systems, working closely with other engineering teams.
Implement AI/MLOps pipelines, including automated training, validation, deployment, and model retraining.
Document technical approaches, model architectures, and implementation details.

Requirements

Minimum 5 years in software engineering, data science, or machine learning roles with a strong AI focus.
Deep understanding of supervised, unsupervised, and reinforcement learning algorithms.
Hands-on experience with neural networks, CNNs, RNNs, Transformers, and LLMs.
Expert-level Python skills with proficiency in its libraries.
Strong foundation in linear algebra, probability, and statistics.
Experience with SQL, data preprocessing, feature engineering, ETL pipelines, and distributed computing frameworks.