Job details

ML Engineer

About the project

Duration: 3 months with a prolongation option
Stage: solution development from scratch

Objective

The objective of this project is to develop a conversational AI system that will empower different internal teams to coordinate their work faster. The AI system will have to take data from internal and external different sources (i.e. project boards, reports, news, etc) and to be able to answer about the progress on different company’s projects and activities and suggest improvements and refer them to the right teams and data streams

Areas of responsibilities + Skills + Knowledge

Proficient in machine learning and natural language processing techniques, with a focus on Large Language Models (LLMs) like OpenAI's GPT series.
Experience with embedding models and vector database search technologies (Chroma, Elasticsearch) for efficient information retrieval and analysis.
Skilled in prompt engineering and tuning for various LLMs, including OpenAI models and Gemini, to optimize model responses for specific tasks.
Familiarity with agent building tools (e.g., Langchain) for creating AI agents capable of synthesizing and interacting with information.
Experience in designing and managing data ingestion pipelines using tools like Apache Airflow for streamlined data collection and processing.
Programming skills in Python, with the ability to utilize relevant AI and machine learning libraries effectively for project needs.
Optional knowledge of TensorFlow, PyTorch, and understanding of Transformers for model fine-tuning is advantageous but not essential.