ML/NLP engineer $

We’re looking for an experienced ML/NLP engineer to analyze ~700k job records and identify niches and sub-niches.

Scope:

• Generate embeddings from job titles/descriptions
• Cluster jobs into meaningful groups (niches)
• Create sub-clusters (sub-niches)
• Auto-label clusters using LLMs
• Provide clean structured output

Requirements:

• Experience with embeddings (OpenAI or sentence-transformers)
• Clustering (HDBSCAN, KMeans)
• Python (pandas, scikit-learn)
• Experience with large datasets

Nice to have:

• FAISS or vector DB experience
• Previous work with marketplace/job data

Deliverables:

• Script/pipeline
• Clustered dataset
• List of niches with labels

To apply:
Please share a similar project you’ve done and briefly explain your approach.