Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Hybrid way of working ( details below)
Introduction & Summary: The Machine Learning Developer will create and deploy production-ready models that enhance content extraction and classification processes using advanced AI techniques. This role is vital in contributing to business objectives through innovative solutions in Document AI. The ideal candidate must possess strong skills in Python and machine learning, alongside a solid understanding of Generative AI.
Main Responsibilities:
- Building production-ready models for content extraction and classification.
- Collaborating with business teams to capture requirements and iteratively develop solutions.
- Working alongside product managers and technical teams.
- Creating and testing new products and features.
- Designing Python/ML/OCR components.
- Supporting all stages of product development including deployment and production support.
- Strong experience in Document AI and Intelligent document processing with open-source models.
- Proficient in Python, machine learning, deep learning, natural language processing, generative AI, image processing, and OCR.
- Familiarity with frameworks such as TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, and Regex.
- Experience ensuring code safety in production with a focus on cybersecurity.
- Experience with PostgreSQL for data management.
- Proficiency with Azure services including Azure Virtual Machines, Azure CLI, AKS, and Azure DevOps.
- Experience working in teams that release to production at a high cadence.
Hybrid way of work, details: People from Kraków and the surrounding area – 5 times per month
People from Warsaw and the surrounding area – 3 times per month (office in Warsaw)
People from outside Warsaw and Kraków – 1 time per month or 3 times per quarter (if someone prefers to come once for 3 days).
Key Skills
Ranked by relevanceReady to apply?
Join emagine and take your career to the next level!
Application takes less than 5 minutes