AI Software Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Software Engineer: Designing, developing, and deploying innovative AI solutions for a large-scale media platform with an accent on model training, optimization, and cloud-native integration. Focus on building scalable production-ready services, implementing MLOps workflows, and managing the full AI lifecycle.
Location: Kraków, Poland
Company
A family-owned media business operating over 150 radio and podcast brands across nine European countries, dedicated to delivering content that enriches everyday lives.
What you will do
- Develop and deploy AI-powered solutions including NLP, recommendation systems, and content analysis.
- Integrate third-party and cloud-native AI services from Azure, AWS, or GCP into existing products.
- Train, fine-tune, and optimize machine learning models for production environments.
- Automate deployment, monitoring, and lifecycle management of AI services.
- Build and maintain robust data pipelines for large-scale processing.
- Apply MLOps and DevOps best practices using Docker and Kubernetes.
Requirements
- At least 5 years of experience delivering AI/ML models into production.
- Strong proficiency in Python and JavaScript.
- Hands-on experience with Azure AI Services.
- Solid knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with MLOps/DevOps workflows and data engineering.
- Strong problem-solving skills and ability to work both independently and collaboratively.
Nice to have
- Experience with Go programming language.
- Exposure to AWS or GCP cloud environments.
Culture & Benefits
- Work within a central AI team with high visibility and broad business impact.
- Access to continuous learning, training, and opportunities to deepen AI expertise.
- Collaborate with experienced engineers and researchers in a strong technical environment.
- Experiment with new technologies and influence the technical direction of AI initiatives.
- Solve diverse engineering challenges across multiple business domains.
- Clear growth paths into senior technical, architecture, or AI specialist roles.
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