Machine Learning Engineer

1 month ago


India Recro Full time

Experience: 3-6 years 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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