Prompt Engineer (LLM Automation For Data Labeling & Localization)

Innodata India

5 - 8 years

22 - 25 Lacs

noida

Posted:6 days ago| Platform:

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Skills Required

large language model python pytorch tensorflow openai huggingface natural language processing jupyter notebook

Work Mode

Remote

Job Type

Full Time

Job Description

Technical & Required Skills

Deep understanding of LLMs (e.g. transformer-based architectures).
Demonstrated experience programmatically using LLMs to automate data labeling, classification, localization and annotation tasks.
Strong expertise in Python for NLU, for data processing & transformation, and for statistical analysis. Familiarity with JSON, Javascript or XML.
Experience with popular frameworks and libraries, including TensorFlow, PyTorch, Jupyter, and other relevant AI/ML tools.
Familiarity with APIs and platforms for working with LLMs (e.g., OpenAI, Hugging Face, etc.).
Knowledge of localization best practices and cultural nuances for different languages and regions.
Strong understanding of LLM evaluation metrics and the ability to assess model reliability, bias, and generalizability.
Experience working with data pipelines, automation tools, and integrating models into production systems to ensure scalable, reliable solutions.
A collaborative mindset with the ability to solve complex technical challenges and work independently as needed.
Exceptional attention to detail and a commitment to delivering high-quality, reliable AI solutions.
Appreciation for issues of Diversity, Equity, and Inclusion in AI.

Minimum Education Requirements

Bachelors degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or a related field.

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