Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
- Develop and implement AI data operations strategy and quality standards
- Design and implement comprehensive data quality monitoring systems
- Establish data validation workflows and acceptance criteria
- Create efficient processes for data acquisition, labeling, and validation
- Guide development of data operation automation tools
- Lead architectural decisions for scalable and efficient data infrastructure
- Oversee data labeling operations and manage vendor relationships
- Implement and maintain robust data quality assurance processes
- Develop tools and scripts for data operations automation
- Create monitoring dashboards and quality metrics systems
- Manage dataset versions and release processes
- Drive continuous improvement in data quality and operational efficiency
- Implement systems for tracking data inventory and usage
- Establish and monitor SLAs for data operations
- Design and optimize data pipeline efficiency
- Drive cost optimization for data operations
- Create automated quality control processes
- Establish metrics collection and reporting infrastructure
- Collaborate closely with ML engineers, data scientists, and DevOps teams to ensure data workflows align with model training and deployment requirements
- Contribute to continuous improvement of data practices across the ML lifecycle
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- 7+ years of experience in ML operations or data management
- Proven track record in managing data operations at scale
- Experience with data quality management systems
- Strong background in operational excellence
- Proficiency in Python for automation
- Experience with data pipeline development
- Knowledge of data versioning systems (e.g., DVC, Git LFS)
- Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins) for automating data workflows
- Expertise in data validation frameworks and tools
- Experience with cloud storage and data systems (e.g., AWS S3, Azure Blob)
- Strong background in ML data workflows
- Strong operational management capabilities
- Expertise in technical vendor management
- Excellent communication and documentation skills
- Strong analytical mindset with a proactive approach to identifying and solving operational bottlenecks
- Team leadership and collaboration skills
- Data-driven decision-making abilities
This role offers the opportunity to shape and optimize our ML data operations, directly impacting the success of our machine learning systems. The ideal candidate will combine deep technical expertise with strong operational leadership to build and maintain high-quality, scalable data workflows.
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Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
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What We Do
ABBYY puts your information to work. We help enterprises and organizations to transform their data into intelligent, actionable outcomes, so they can make smart decisions faster and drive better results.
Our intelligent automation solutions employ AI that is purpose-built for the enterprise—created with our customers in mind, supporting over 200 languages in real time.
ABBYY intelligent document processing transforms data from any document, in any format or language, any time, into data that drives processes and decision-making. ABBYY Process Intelligence delivers process-related insights and monitoring to improve business process execution.
For more information, please visit the ABBYY website
