Hi! We are Bombe, and are looking for contract data developers (2 months, Python) with a focus on Data Engineering and ML Engineering.
Our mission is to create the best audience insight and targeting model in the world to help people better connect with their customer base.
We are an exciting early stage startup working at the intersection of public opinion, audience insights, ad targeting and artificial intelligence. We are already delivering value for some of the most exciting and well known businesses in the UK, and are now looking for help in order to expand our capabilities and enhance our core products. Our work has been featured on the BBC, in the Guardian and in Politico.
Your core responsibility will be to contribute to the construction of a reusable RAG pipeline on giant datasets, as well as constructing and deploying APIs with Django.
We are looking for a contractor based in London, UK for a fixed term of two months, full time. Full time is 8 hours/day; 5 days/week. We will expect you to be present at our office in Canary Wharf at least 2 days/week.
You will work under the direction of our Chief Data Officer.
We offer a competitive compensation, taking into account the candidate's experience and expertise. Payment will be made on a monthly basis following receipt of an invoice.
Please send your CV, github profile and a short cover letter including your suggested daily rate to contact@bombe.io by 25/07/24 at the latest but we will be appointing as and when. Also, feel free to ask any questions you might have!
REQUIRED SKILLS:
- Strong Python skills with a proven track record in Data Engineering and ML engineering
- Strong Django skills
- Strong SQL skills
- Experience using the Pytest framework
- Knowledge of RAG-engineering workflows (langchain, llama_index, haystack) and vector databases (weaviate) using Python
- Comfortable with git and github for version control
- Experience working with LLM APIs (OpenAI, Azure OpenAI, Claude, etc.)
- Experience working with OpenSource LLMs using OLLAMA
- At home in the Linux terminal
- Strong written and spoken communication skills, fluent in English
- Conscientious team player
- Prepared to document your work in our internal systems
DESIRABLE:
- Experience using github actions
- Experience using docker to containerize and deploy applications
- Knowledge of the data science stack for python
- DevOps experience using Azure