Company DescriptionAt Pebble, we are dedicated to helping businesses make a positive impact on the planet. Our tools simplify the process for corporate clients to measure and report their environmental emissions, driving cost savings and promoting sustainable practices. We provide comprehensive solutions to empower organizations and teams to create a meaningful difference in their business impact.The roleIn this role, you will have the opportunity to build ML / GenAI features for carbon accounting and sustainability platform. Typical work will involve using LLMs or VLMs to build new features, designing RAG architecture, and using AI to drive automation in carbon tracking and reporting. You should be comfortable with ambiguity and working across multiple layers of the tech stack to execute on 0-to-1 projects. Minimum qualifications- Bachelor's degree in Computer Science / ML / AI or equivalent practical experience- 8+ years of Programming and data structures / algorithm experience in python and hands-on experience with frameworks such as PyTorch.- Knowledge about ML/DL fundamentals and practical experience working with classical ML models - regression / classification etc. - Experience with GenAI techniques - LLMs, RAG, Embedding models, HF transformers, llamaindex / langchain- Familiarity with GenAI model landscape and willingness to learn and apply new cutting-edge techniquesPreferred / Bonus- Experience across the AI stack from prototyping in a notebook environment and deploying GenAI / RAG applications to production. - Experience with pydantic and obtaining structured outputs from LLMs - AI model optimization techniques - Designing APIs using frameworks like FlaskWhy Join Us?Be part of a dynamic team focused on transforming cloud operations through intelligent analytics.Work on high-impact projects in a fast-paced, innovative environment.Opportunity to shape the future of hybrid cloud sustainability and cost optimization.
Job Title
Artificial Intelligence Engineer