We are seeking a highly skilled AI Engineer with expertise in data governance, automated data policy management, data quality, data tagging cloud implementation, and optimization of Large Language Models (LLMs). This role focuses on designing secure, scalable cloud solutions, implementing robust data governance frameworks, and leveraging LLMs to enhance the management and processing of unstructured data.
- Data Governance and Compliance: Develop and implement data governance strategies for unstructured data, ensuring compliance with GDPR, HIPAA, etc.
-
Automated Data Tagging: Design and implement automated data tagging systems using AI/ML technologies (e.g., Auto-Tag).
-
Cloud Implementation and Security Controls: Architect and deploy secure cloud solutions on AWS, Azure, or Google Cloud with robust security controls.
-
LLM Optimization for Unstructured Data: Fine-tune and optimize LLMs to process and analyze unstructured data effectively.
-
Collaboration and Monitoring: Work with cross-functional teams to integrate security/governance and monitor data governance metrics.
- 5+ years of experience in AI/ML, data governance, and cloud implementation.
-
Proven expertise in managing unstructured data and automated data tagging methodologies.
-
Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Databricks, AWS Sage Maker).
-
Proficiency in Python, Java, and SQL.
-
Strong understanding of AI/ML frameworks (PyTorch, Keras, Scikit Learn) and LLM optimization.
-
Knowledge of NLP, RAG technologies, Agentic AI, and data transformation.
-
Experience with data lake platforms (Azure Blob Storage, AWS S3, Databricks).
