Middle Machine Learning Engineer
Hybrid • Full-time • Krakow, Poland
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Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.
Our AI team is working on projects in language models, computer vision, and MLOps, applying machine learning to real-world problems. We’re also partnered with AWS, Microsoft, and Google to stay up to date with the latest tools and technologies.
What you'll do
- Develop ML solutions with a strong commitment to delivering high-quality production-ready code
- Develop real-time document processing for generating RFPs based on client requests and attached documents
- Preprocess and analyze large volumes of structured and unstructured data, including text, scanned documents, and metadata, using tools like Pandas, NumPy
- Collaborate with cross-functional teams, including data engineers, product managers, and software developers, to understand requirements and translate them into technical solutions
What you bring
- At least 2 years of experience in developing and deploying ML models and systems
- Strong understanding of ML concepts, with a specialization in Computer Vision, NLP, or LLMs being a plus
- Strong data manipulation and visualization skills using Pandas, NumPy, and Matplotlib
- Advanced Python skills, including packaging and dependency management
- Basic backend development experience with frameworks such as FastAPI, Flask, or Django
- Experience with cloud platforms like AWS, Azure, or GCP
- English proficiency at B1 level or higher; experience communicating with international teams is a plus
What you'll get
- EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track.
- Licenses for AI tools: GitHub Copilot, Cursor, and others.
- Private medical care with LuxMed.
- Kafeteria MyBenefit credits for stores, restaurants, and cafés.
- Access to a Multisport membership to stay active.
- Glasses reimbursement program.
- Referral bonuses for bringing in new talent.
- Parental leaves
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