Machine Learning Engineer
4 days ago
Location: Remote
We are seeking an experienced Machine Learning Engineer with deep expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will be responsible for designing, developing, and optimizing an NLP-to-SQL generation tool using LLMs and RAG frameworks in Azure Databricks.
Key Responsibilities:
- Design and develop robust NLP-to-SQL generation tools utilizing LLMs and RAG frameworks.
- Implement and fine-tune prompt engineering strategies using OpenAI LLM models.
- Optimize the integration of vector databases for retrieval-based methods to enhance model accuracy.
- Develop scalable solutions and workflows in the Azure Databricks environment.
- Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
- Monitor, evaluate, and improve model performance through continuous experimentation and tuning.
Technical Skills:
- Programming: Proficient in Python, PySpark, and SQL.
- LLMs & RAG: Hands-on experience using OpenAI LLM models and RAG frameworks for prompt engineering.
- Vector Databases: Familiarity with vector databases and retrieval-based methods.
- Azure Databricks: Comfortable working in the Azure Databricks environment, including experience in building and deploying ML models.
Secondary Skills (Good to Have):
- Experience with cloud computing platforms (e.g., Azure, AWS, or GCP).
- Knowledge of deploying machine learning models in production environments.
- Experience with ML lifecycle management tools and frameworks.
- Understanding of REST APIs and microservices architecture.
- Experience in developing solutions for NLP and text-based analytics.
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