Senior ML Engineer/Data Scientist

About the Project
We are collaborating with a leading construction company committed to sustainability and environmental protection. The goal of the project is to develop a comprehensive database showcasing construction products and their properties, including their environmental impact

Key Responsibilities

• Design and implement machine learning models for processing and analyzing data related to construction materials and their environmental properties
• Develop scalable architectures using Azure services
• Work with technologies such as Azure Document Intelligence for text and table extraction
• Build and fine-tune semantic embeddings using Azure OpenAI Ada models
• Implement vector search solutions with tools like Weaviate
• Use Azure OpenAI GPT models for advanced text processing and summarization
• Manage processed data storage efficiently using Delta Lake
• Ensure solutions are optimized for performance, scalability, and sustainability goals

Requirements

• 5+ years of experience in Machine Learning or Data Science roles, with hands-on expertise in cloud-based AI solutions
• Proficiency with Azure services, including Azure Document Intelligence, OpenAI models, and Delta Lake
• Strong programming skills in Python or similar languages
• Experience with vector search engines (e.g., Weaviate)
• Knowledge of data processing pipelines and database management

Would be a plus: 

• Familiarity with sustainability-focused projects or industries
• Experience in building databases or data platforms with a focus on environmental data
• Knowledge of construction materials and their environmental impact is a plus