Senior AI Engineer, NLP & Training Data - 11316

about 20 hours ago

Bengaluru, India

Senior

H1B Sponsor

Responsibilities

Design and implement training data generation pipelines, including synthetic data generation.
Build data labeling and annotation workflows with quality validation loops.
Convert enterprise data into formats suitable for model training.
Implement active learning strategies to identify high-value training examples.
Collaborate with domain experts to validate training data quality and relevance.
Build automated data quality checks: coverage, balance, consistency.
Design training data versioning and lineage tracking.
Analyze model evaluation results to identify training data gaps.

5+ years of software engineering experience, with 2+ years in NLP, data science, or ML data engineering.
Experience with text processing, tokenization, and NLP pipelines.
Hands-on experience with data labeling tools and annotation workflows.
Experience generating synthetic training data using language model APIs.
Understanding of instruction-tuning and training data quality metrics.
Proficiency in Python (pandas, PySpark).
Experience with data versioning tools is a plus.
BS/MS in Computer Science, NLP, or equivalent experience.

PandasPython