Description
1 to 2 years of experience in AI including hands on experience with exploratory data analysis, building data pipeline, model development and model evaluation.
A sound knowledge in theoretical and practical use of Machine Learning.
Hands on experience in developing deep learning models, preferable for Natural Language Processing applications.
Experience in using Generative AI including advanced prompting techniques and preferably fine tuning models.
Experience in building pipelines for use of externally hosted LLMs and preferably locally hosted LLMs.
Comprehensive experience and a detailed knowledge in implementing, enhancing and evaluating RAG implementations / pipelines.
Use of orchestrations layers such as LangChain for efficient use of LLMs.
Experience around evaluation frameworks for Generative AI, in the context of text generation. Eg RAGAs and TruLens.
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming...
How to applyProject Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI tools, Cloud AI...
How to applyWe invite a talented AI Full-Stack Engineer to be a part of our new competency SAP AI. As an integral...
How to applyCenter 1 (19052), United States of America, McLean, Virginia Lead Machine Learning Engineer, Bank Tech As a Capital One Machine...
How to applyWe’re Cruise, a self-driving service designed for the cities we love. We’re building the world’s most advanced self-driving vehicles to...
How to applyMinimum qualifications: Bachelor’s degree or equivalent practical experience. 4 years of experience in marketing working across one or more marketing...
How to apply