Middle Machine Learning Engineer (Generative AI Engineer) Offline

Revenue Grid is a revenue intelligence platform that helps businesses identify and prevent revenue leaks at any stage of the revenue generation process. Revenue Grid stops revenue by automatically capturing all relevant sales activities, analyzing data with AI, implementing changes to sales processes with Revenue Signals, and measuring the effectiveness of those changes. 

We invite a Middle Machine Learning Engineer to join our R&D team, contributing to the development and research of AI technologies in Sales Automation. You'll support the innovation of new features, engage in use-case analysis, and collaborate on MVPs. 

 

Skills and Qualifications: 

  • Strong foundational knowledge in Large Language Models (LLMs) and proficiency in Python. 
  • Experience with RAG, ReAct agents, and eagerness to engage with cloud technology and LLM deployment. 
  • Experience in backend development, FastAPI, SQLAlchemy, and Apache Kafka, will be a plus. 
  • Bachelor's degree in Computer Science or related fields, with a dedication to AI and ML, evidenced by personal or academic projects. 
  • An enthusiasm for open-source projects and a collaborative spirit that thrives in a dynamic team setting. 

Responsibilities: 

  • Support the development and optimization of AI-driven applications in the Sales Automation domain. 
  • Work alongside senior engineers, contributing to the team's knowledge base and fostering a shared culture of innovation. 

Benefits & Perks:  

  • A friendly, informal, and knowledge-sharing environment with open-minded people around you.  
  • Chance to join a team of professionals in a company globally recognized for its cutting-edge products.  
  • Unlimited vacation.  
  • Ability to work remotely. 
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