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

Apply for Middle Machine Learning Engineer

Submit your CV via our company website, recruiter outreach (LinkedIn, email), LinkedIn, job boards, social media, events, university/college/IT schools, or through your personal network.

Interested in working with us? View our job openings.