Senior Machine Learning Engineer - AI-Assisted Data Annotation
Senior · Гибрид · Бангалор, Индия · Английский B2
Навыки
Computer Vision
Решения на данных
Лидерство
Machine Learning
NLP
Zapier / Make / n8n
Мониторинг и observability
Ещё 5
Ответственность за результат
Решение задач
Python
PyTorch
Роадмап
О компании и продукте
We are seeking a Senior Machine Learning Engineer – AI-Assisted Data Annotation to own the automated annotation track within ABBYY’s Document AI Data team .
This role sits at the intersection of large model capabilities and production data engineering , leveraging LLMs and vision-language models to generate high-quality training data at scale. You will design and build AI-assisted annotation pipelines , ensuring outputs are accurate, measurable, and reliable for downstream model training.
This is an ideal role for engineers who combine deep model expertise with strong system-building instincts and thrive in fast-moving, experimental environments.
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.
Задачи
Technical Development & Innovation
Design and implement AI-powered annotation pipelines using large models to generate ground truth labels at scale
Develop and refine prompting strategies, few-shot examples, and fine-tuning approaches to improve accuracy and consistency
Build systems for label verification, confidence scoring, and quality validation
Evaluate which tasks are suitable for automated annotation vs. human review , and define decision criteria
Create evaluation frameworks to benchmark automated annotations against human-labeled data
Continuously improve annotation quality using feedback from human review workflows
Project Ownership & Leadership
Own the automated annotation track end-to-end , from architecture through production monitoring
Drive technical decisions across model selection, pipeline design, and validation strategies
Define integration points with platform infrastructure and model serving systems
Collaborate with Data Operations to design human-in-the-loop workflows for efficient review
Contribute to roadmap planning with Principal-level technical leadership
Infrastructure & Scale
Build and optimize large-scale inference pipelines for processing millions of documents
Implement monitoring and alerting for quality degradation and system failures
Design batching, caching, and fallback mechanisms to balance cost, throughput, and accuracy
Collaborate with Platform teams on model serving, APIs, and infrastructure scaling
Maintain clear documentation of annotation strategies, metrics, and known limitations
Требования
Education & Experience
MS or PhD in Computer Science, Engineering, Mathematics, or related field
5+ years of experience in Machine Learning / AI , with focus on
Large Language Models (LLMs)
Vision-Language Models (VLMs)
Data annotation or labeling systems
Demonstrated success using large AI models to automate annotation at production scale
Strong background in evaluation design and quality measurement
Technical Expertise
Deep expertise in LLMs and VLMs , including prompting, instruction tuning, and output evaluation
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Признаки мошенничества
Просят предоплату, «залог» или деньги за обучение и оборудование.
Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
Быстро уводят в мессенджер и торопят с решением.
Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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