Engineering new possibilities with platforms, data, and generative AI

Generative AI Scientist

AI Research ScientistMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 2000H1B SponsorCompany Site LinkedIn

Location

United States

Posted

92 days ago

Salary

Not specified

Bachelor DegreeExperience acceptedEnglishCloudGoogle Cloud PlatformPythonShell ScriptingSQL

Job Description

• Join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. • Develop applications on Google Cloud. • Work with customers to understand their requirements. • Suggest new ideas and features to the team. • Improve the product and implement new functionalities with a passion for quality. • Implement best practices and state-of-the-art techniques for AI and LLMs. • Work on research, experimentation, and implementation of novel methods.

Job Requirements

Required hands-on experience designing and implementing applications using Large Language Models (LLM).
Python programming.
Google Gemini, OpenAI GPT, LLaMA, or similar models.
LangChain, LlamaIndex, or similar frameworks.
Advanced prompt engineering.
Retrieval Augmented Generation (RAG).
Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar).
The ideal candidate will also have experience in one or more of the following:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
LLM model fine-tuning.
Embedding model fine tuning.
Shell scripting.
Google Cloud Vertex AI (AutoML, AI APIs, etc.).
Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving).
MLOps (ideally on GCP).
Data Engineering (including SQL).