Offer summary
Qualifications:
1-2 years of LLM development, 3-5+ years of ML development overall.Key responsabilities:
- Develop a conversational AI system
- Take data from multiple sources for progress updates and suggestions
Match score not available
Priority access
Match score not available
ML Engineer
78% Flex
FULLY FLEXIBLE
Job description
Your missions
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.
Experience
1-2 years of development with LLMs
3-5+ years of machine learning development overall
Terms & conditions
Allocation: 1.0 FTE
Time zone: Europe
Start date: July 2024
We offer
Scientific or engineering challenges
Work with disruptive deep-tech startups
Work with rock stars (senior-level engineers, Ph.D.)
Meaningful social and environmental projects
Transparent, professional growth plan depending on your impact
Remote work from any location
Flexible working hours
Regular Team Building & company-wide team events
Required profile
Experience
Industry :
Research
Spoken language(s):
English
Check out the description to know which languages are mandatory. Share
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