Data Science Engineer

Axelon

  • Woodland Hills, CA
  • 7 days ago
  • $53–$57 Per Hour

Highlights

Build document extraction, parsing, and chunking pipelines for structured and unstructured data. Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows.

Numbers & Facts

LocationWoodland Hills, CA
Salary$53–$57 Per Hour

Description

Pay Rate: $55 per hour
Location: Woodland Hills, CA

Responsibilities:

  • Develop and deploy machine learning and Generative AI solutions using Python.
  • Design and optimize prompt engineering strategies for LLM-based applications.
  • Build document extraction, parsing, and chunking pipelines for structured and unstructured data.
  • Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows.
  • Implement embedding generation and vector search solutions.
  • Integrate ML models with Vector DBs and MongoDB.
  • Ensure code quality, scalability, and production readiness.

Requirements:

  • Expert-level proficiency in Python.
  • Strong experience in model training, evaluation, and tagging workflows.
  • Hands-on experience with document extraction and chunking techniques.
  • Solid understanding of ML algorithms and Generative AI concepts.
  • Experience working with Vector Databases and/or MongoDB.

Preferred Skills:

  • Python
  • LangChain / LangGraph
  • LlamaIndex
  • OpenAI / Azure OpenAI
  • MCP (Model Context Protocol)
  • A2A Agent Frameworks
  • Vector DBs (Pinecone, Chroma, Weaviate, Milvus, FAISS)
  • MongoDB
  • RAG Pipelines
  • Hugging Face
  • MLflow
  • FastAPI
  • Docker & Kubernetes

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