Match score not available

AI Data Operations Manager

Remote:

Full Remote

Work from:

Hungary

Offer summary

Qualifications:

Bachelor's or Master's in Computer Science, Data Science, or related field., 5+ years experience in ML operations or data management., Proven track record in data operations management., Programming proficiency in Python..

Key responsabilities:

Develop and implement AI data operations strategy.
Oversee data labeling operations and ensure quality.

ABBYY Large https://www.abbyy.com/

1001 - 5000 Employees

See all jobs

Job description

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.

With a focus on customer-centric thinking, we're not just another vendor – we're a transformative force in the industry. By joining one of our Customer Excellence teams, you will have the chance to work with our portfolio of over 10,000 customers, including many Fortune 500 companies.

Job Responsibilities:

Technical Leadership & Data Strategy

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
Drive technical decisions for data infrastructure needs

Quality Management & Operations

Oversee data labeling operations and vendor technical 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 efficiency

Infrastructure & Scale

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

Job Requirements:

Education & Experience

Bachelor's or Master's degree in Computer Science, Data Science, or related field
5+ 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

Technical Expertise

Programming proficiency in Python for automation
Experience with data pipeline development
Knowledge of data versioning systems (DVC, Git LFS)
Expertise in data validation frameworks and tools
Experience with cloud storage and data systems
Strong background in ML data workflows

Leadership & Communication

Strong operational management capabilities
Excellence in technical vendor management
Clear communication and documentation skills
Problem-solving and analytical abilities
Team leadership and collaboration skills
Data-driven decision making abilities

This role offers the opportunity to work on cutting-edge computer vision and multimodal ML systems while solving complex technical challenges. The ideal candidate will combine deep computer vision expertise with strong implementation skills to deliver innovative solutions.

Here are some of our local 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

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.