Machine Learning Specialist
17 hours ago
At Document Crunch, our mission is to empower the construction industry by simplifying complex construction contracts and project documents, identifying critical risk provisions, and providing teams with real-time guidance to make great decisions and comply with contractual obligations throughout the project lifecycle. We believe that by working together, we can make a real difference in the lives of builders, architects, engineers, and developers. We are committed to providing equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity, or any other legally protected category.
About the Role
We are seeking a talented Document Analysis Engineer to join our team. As a key member of our team, you will be responsible for designing, implementing, and deploying advanced RAG systems to enhance document understanding and analysis capabilities. With a strong background in NLP and RAG, you will work closely with cross-functional teams to ensure seamless integration of AI/ML solutions into our existing workflows or design and deploy new workflows as needed.
Responsibilities
The successful candidate will be responsible for:
• Designing, implementing, and deploying advanced RAG systems to enhance document understanding and analysis capabilities
• Integrating cutting-edge AI/ML solutions into existing products and services
• Collaborating with cross-functional teams to ensure seamless integration of AI/ML solutions into our existing workflows or design and deploy new workflows as needed
• Staying at the forefront of AI/ML advancements and industry trends, identifying and evaluating new technologies and methodologies for potential adoption
Requirements
To be considered for this role, you must have:
• A Bachelor's degree in Computer Science, Machine Learning, or a related field
• Proficiency in Python
• Strong understanding of NLP algorithms, including transformer architectures and large language models
• Extensive experience with RAG systems, knowledge graphs, vector databases, and semantic search technologies
• Advanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML services
• Expertise in LLM prompt engineering, fine-tuning, and evaluation
• Multiple years of professional experience in AI/ML related engineering roles
Preferred Qualifications
Experience in the construction or legal tech industry is preferred, as well as contributions to open-source ML projects or research publications.
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