Description

You will design and develop data processes and agentic systems to solve real-world problems.

This role is hybrid.

Responsibilities

• Design and develop data pipelines and robust data flows to handle complex interactions between AI agents and data sources.
• Train and fine-tune large language models (LLMs) using structured and unstructured datasets.
• Build data architecture, including databases, data lakes, and vector databases, to optimize storage and retrieval of embeddings.
• Manage ELT processes and implement pipelines that facilitate feedback loops for human-in-the-loop systems.
• Collaborate with data scientists to preprocess data, train models, and integrate AI into applications.

Required Skills

• 5+ years of experience in data engineering or related fields.
• Proficiency in Python and AI/ML frameworks.
• Experience with Apache Spark, including implementing partition schemas.
• Hands-on experience with Azure Databricks and Azure AI services (Azure OpenAI, Azure AI Search, Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure Media Services, and Blob Storage).
• Expertise in integrating with AI agent frameworks and working with vector databases.
• Strong understanding of ELT, big data frameworks, and cloud computing practices.
• Knowledge of graph databases and core machine learning algorithms.
• Proficiency with Git version control.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Key Skills

Education

Any Graduate