Amazon Language Engineer III Productivity Alexa Domains 

India, Tamil Nadu 

76074113

We are seeking a Language Engineer with experience in the field of Natural Language Processing, Machine Learning, or Large Language Models, expertise in handling large data sets, and strong analytic skills. You will play a critical role in innovative projects by driving design of Alexa features. The key responsibilities are to generate high-quality data and to run and evaluate experiments, which involves prompt engineering our Large Language Model for API delivery. You will work closely with engineers, scientists and program managers to ensure we're providing the best Alexa experience for millions of our customers. Key job responsibilities
Specifically, the Language Engineer will: Produce and manipulate different types of language data, analyze, and provide efficient solutions Engineer prompts to guide generative AI to produce desired outputs in context
Automate operations and perform data analysis using python, or other scripting language.
Advocate strict adherence to annotation guidelines
Test and deploy changes to Alexa's language understanding codebase Use modeling tools to bootstrap and test new functionalities

* Bachelor’s or Master’s Degree in Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related field.
* Relevant work experience of 5+ years.
* Experience in Python or another scripting languages
* Experience in Java basics
* Experience with database queries
* Experience in Natural Language Processing, Machine Learning, or Large Language Models
* Knowledge of Regex, SQL, MS Excel, Git.
* Practical knowledge of version control and agile development
* Excellent communication, strong organizational skills and detail-oriented
* Comfortable working in a fast paced, highly collaborative, and dynamic work environment

* Master or equivalent experience in a relevant field (computational linguistics or equivalent field with computational analysis)
* Able to think creatively and possess strong analytical and problem solving skills
* Experience or understanding in data science and quantitative research.
* Experience with language annotation and other forms of data markup.
* Hands-on experience with machine learning and deep learning techniques in the fields of NLP and search.
* Experience with AWS services (S3, Sagemaker, ML language services, etc.).
* Knowledge of user experience concepts and methods.