Job 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
Numbers & Facts
| Location | Woodland Hills, CA |
| Salary | $53–$57 Per Hour |
Skills
Algorithmsunmatched
Artificial Intelligence (AI)unmatched
Data Scienceunmatched
Database Designunmatched
Dockerunmatched
MCP - Microsoft Certified Professionalunmatched
Machine Learningunmatched
Microsoft Windows Azureunmatched
MongoDBunmatched
Python Programming/Scripting Languageunmatched
Shallow Parsingunmatched
Workflow Analysisunmatched
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