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Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager)

ABBYY
CompanyABBYY
CategoryEngineering
LocationBangalore
RemoteHybrid
EmploymentNot stated
LevelManager
SalaryNot stated by the employer
Posted21 May 2026
Last verified3 Aug 2026
SourceEmployer career page (greenhouse)
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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. 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. About the Role   We are seeking a  Principal Machine Learning Engineer (Tech Lead Manager)  to lead ABBYY’s  Document AI Data team , one of the company’s most strategic and high-impact engineering groups.   This role combines  hands-on technical leadership with people management , owning both the architecture and roadmap for how ABBYY builds high-quality training data at scale, as well as the growth and performance of the team delivering it.   You will operate at the center of ABBYY’s document AI strategy—defining how training data is created, validated, and scaled to power next-generation  large language and vision-language models .   Key Responsibilities   Technical Leadership & Strategy   Own the end-to-end technical strategy for the  Document AI data platform , spanning:    AI-assisted annotation   Synthetic data generation   Document understanding pipelines   Define architectural principles that unify multiple data workflows into a  scalable, cohesive platform   Establish and operationalize standards for  high-quality training data  in collaboration with Modeling teams   Drive the development of  data quality evaluation frameworks , including metrics for coverage, fidelity, and performance   Identify and evaluate emerging AI technologies to maintain ABBYY’s competitive edge   Make  hands-on technical contributions  to critical architectural and pipeline decisions     Team & People Leadership   Lead, mentor, and grow a team of  Senior Machine Learning Engineers   Own hiring strategy and execution, including role definition, interview processes, and offer decisions   Drive  performance management, career development, and growth planning   Foster a culture of  technical rigor, curiosity, and collaboration   Represent team priorities, roadmap, and resourcing needs to senior leadership   Build strong partnerships with peer leaders across  Modeling, Platform, and Data Operations teams     Cross-Functional Alignment & Delivery   Partner with Platform teams on  model hosting and inference requirements  for large-scale data workflows   Collaborate with Modeling teams to translate  model training needs into data strategies and priorities   Work with Data Operations to build  feedback loops between automated annotation and human validation   Own delivery accountability, including  roadmap planning, milestone tracking, and escalation management   Champion best practices for  data privacy, compliance, and responsible AI  across all data processes   Qualifications   Education & Experience   MS or PhD in Computer Science, Engineering
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