Principal Machine Learning Engineer - Tech Lead

January 31

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Logo of ABBYY

ABBYY

ABBYY is a leading provider of intelligent automation solutions, leveraging AI-powered document processing technologies to transform and optimize business processes. The company offers solutions such as ABBYY Vantage, a low-code platform for document processing, and ABBYY Timeline, which provides process mining and simulation to gain actionable insights into business processes. ABBYY serves a wide range of industries including financial services, insurance, and public sector by automating tasks such as accounts payable automation and customer onboarding. Known for its high accuracy and efficiency, ABBYY's technologies enable organizations to enhance productivity, improve process intelligence, and achieve cost savings.

Artificial intelligence software • Document AI • Process Mining • Task Mining • digital transformation

501 - 1000 employees

Founded 1989

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2021-05

📋 Description

• Join ABBYY and be part of a team that celebrates your unique work style. • Architect and implement state-of-the-art document understanding models, from conception to production deployment. • Drive technical decision-making for ML infrastructure, model architecture, and deployment strategies. • Lead and mentor a team of senior machine learning engineers. • Foster a culture of technical excellence, innovation, and continuous learning. • Ensure robust monitoring and maintenance of production ML systems. • Shape the future of document understanding technology while leading a talented team of engineers.

🎯 Requirements

• MS or PhD in Computer Science, Engineering, Mathematics, or related field • 10+ years of experience in Machine Learning/AI, with focus on Computer Vision • Proven track record of deploying ML models at scale in production environments • Deep expertise in modern deep learning architectures, particularly multimodal and multi-task networks • Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks • Extensive experience with cloud platforms and MLOps tools • Demonstrated expertise in building and optimizing large-scale data processing pipelines • Proven ability to lead and mentor technical teams • Strong track record of driving technical decisions and innovation • Excellence in cross-functional collaboration and technical communication • Recognized thought leadership in machine learning and document understanding

🏖️ Benefits

• Work from home, remotely, or hybrid • Partial compensation for glasses and lenses • Private health insurance • Volunteering Time Off (2 days/ year) • SZÉP Card for recreational activities • 3 extra days/ month for 'sick leave' without doctors visit • Flexible working hours

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