ML Platform Engineer

Global technology company with 35+ years experience, specializing in intelligent document processing and AI solutions.
Machine Learning
Mid-Level Software Engineer
Remote
501 - 1,000 Employees
2+ years of experience
AI · Enterprise SaaS

Description For ML Platform Engineer

ABBYY, a global leader in intelligent document processing with over 35 years of market experience, is seeking a ML Platform Engineer to join their innovative team. With a workforce of 600+ professionals across 15 countries and serving 10,000+ customers including Fortune 500 companies, ABBYY offers a unique opportunity to work on cutting-edge AI and Machine Learning technologies.

The role focuses on building and maintaining ML platform components and infrastructure, making it perfect for engineers passionate about large-scale systems and AI infrastructure. You'll work with modern technologies including Python, Linux, and containerization while contributing to a platform that powers solutions for major enterprises.

As an ML Platform Engineer, you'll be part of a diverse, global team that values innovation and excellence, evidenced by ABBYY's 140+ technology patents. The position offers comprehensive professional growth opportunities while working on transformative projects that impact major organizations worldwide.

The company culture emphasizes work-life balance with flexible working options, including remote work possibilities. ABBYY provides attractive benefits including health insurance, vision care, parental leave, and unique perks like volunteering time off. The collaborative environment, guided by values of respect, transparency, and simplicity, consistently ranks "Team Environment" as a top engagement driver.

Join ABBYY to be part of a company that's modernizing the capture market with the first low-code/no-code IDP platform, recognized by top analyst firms including Gartner and Everest PEAK Matrix ® Assessment. This role offers the perfect blend of technical challenge, professional growth, and work-life balance in a globally recognized organization.

Last updated 2 months ago

Responsibilities For ML Platform Engineer

  • Implement and maintain platform components for ML systems
  • Build and update infrastructure automation scripts
  • Develop monitoring and logging solutions
  • Support CI/CD pipeline maintenance
  • Assist in troubleshooting platform issues
  • Write automated tests and documentation
  • Help maintain cloud infrastructure for ML workloads
  • Implement infrastructure as code solutions
  • Support container deployment and management

Requirements For ML Platform Engineer

Python
Linux
Kubernetes
  • Bachelor's degree in Computer Science or related field
  • 2+ years of software engineering experience
  • Experience with cloud platforms and services
  • Strong programming skills in Python
  • Experience with cloud services and Linux systems
  • Basic knowledge of containerization and CI/CD
  • Understanding of distributed systems concepts
  • Version control with Git
  • Strong analytical and problem-solving skills
  • Good communication abilities

Benefits For ML Platform Engineer

Vision Insurance
Medical Insurance
Parental Leave
  • 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
  • Paid parental leave

Interested in this job?

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