Job Information
Amazon Language Engineer, Conversational Assistant Services (CAS) in Chennai, TennesseeIndia
Description
The Conversational Assistant Services (CAS) organization is 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
Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM
Produce and manipulate different types of language data, analyze, and provide efficient solutions
Design and lead a data collection; define scope and target, provide a guideline and training, guide teams cross sites to meet the quality bar, and run evaluation of data for hand off
Engineer prompts to guide generative AI to produce desired outputs in context
Automate operations and perform data analysis using python, or other scripting language.
Basic Qualifications
Master or equivalent experience in a relevant field (computational linguistics or equivalent field with computational analysis)
Experience in Python or another scripting languages
Experience in Natural Language Processing, Machine Learning, or Large Language Models
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
Preferred Qualifications
PhD in Linguistics, Computational Linguistics or relevant field
Experience with database queries and data analysis processes (SQL, R, Matlab, etc.), and Unix
Expertise in bootstrapping language data collections in a quickly changing environment
Able to think creatively and possess strong analytical and problem solving skills
Amazon
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