AI/ML / LLM / DL developer to help build some fun tools
Budget: $40 – $100 USD
We are looking for a machine learning / AI developer with experience in LLMs, NLP, data transformations, chatbots and the general landscape of machine learning techniques and emerging AI-related services.
You would be working with our CTO on various experimental projects to build and refine consumer-facing products.
You will need to demonstrate experience in the following areas:
- Familiar with techniques for transforming large bodies of text to be fed into LLMs and queried via prompts
- Experience with embeddings
- Familiar with OpenAI APIs and other relevant ML platforms
- Vector search (e.g. Pinecone, Langchain, etc)
- Transformations (hugging face, etc.)
This job will be super fun and involve a lot of experimentation. We are looking for a creative problem solver and someone who absolutely loves language models and seeing what incredible things can be produced through them.
You would be expected to have domain expertise in ML and produce the models and necessary toolchains and processing pipelines needed to produce the right output. You would not be expected to build the consumer-facing interfaces for these products.
Right candidates should give answer following questions in proposal:
1. In brief, what are the top few ways you would build a toolchain to ingest large bodies of text that could be searched against in a Q&A style chatbot?
2. What are some examples of apps / models you have produced that related to large bodies of text?
3. What is your personal experience with prompt engineering? In what cases would you use that instead of using fine-tuning?
4. How do you deal with outliers or missing values in a dataset?
5. What techniques would you use to clean a data set?
You would be working with our CTO on various experimental projects to build and refine consumer-facing products.
You will need to demonstrate experience in the following areas:
- Familiar with techniques for transforming large bodies of text to be fed into LLMs and queried via prompts
- Experience with embeddings
- Familiar with OpenAI APIs and other relevant ML platforms
- Vector search (e.g. Pinecone, Langchain, etc)
- Transformations (hugging face, etc.)
This job will be super fun and involve a lot of experimentation. We are looking for a creative problem solver and someone who absolutely loves language models and seeing what incredible things can be produced through them.
You would be expected to have domain expertise in ML and produce the models and necessary toolchains and processing pipelines needed to produce the right output. You would not be expected to build the consumer-facing interfaces for these products.
Right candidates should give answer following questions in proposal:
1. In brief, what are the top few ways you would build a toolchain to ingest large bodies of text that could be searched against in a Q&A style chatbot?
2. What are some examples of apps / models you have produced that related to large bodies of text?
3. What is your personal experience with prompt engineering? In what cases would you use that instead of using fine-tuning?
4. How do you deal with outliers or missing values in a dataset?
5. What techniques would you use to clean a data set?