Apply📍 Austin, Texas, Atlanta, Georgia, United States
🧭 Full-Time
🔍 Construction or legal tech
🏢 Company: Document Crunch
- Bachelor’s, Master's or PhD in Computer Science, Machine Learning, or a related field
- Expert proficiency in Python
- Expert understanding of NLP algorithms, including transformer architectures and large language models
- Extensive experience and understanding of 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
- Proven track record of leading complex AI/ML projects from conception to production
- Extensive experience with model deployment, MLOps, and maintaining ML systems in production, or equivalent experience with ML systems integration at scale
- Demonstrated ability to translate business requirements into technical solutions
- Strong leadership and team management skills
- Excellent problem-solving and analytical abilities
- Outstanding communication skills, able to explain complex technical concepts to diverse audiences
- Proven ability to influence and drive decision-making across teams and departments
- Help guide and execute the company's AI/ML roadmap, aligning with business objectives
- Research, design, implement and deploy advanced RAG systems to enhance document understanding and analysis capabilities
- Lead the integration of cutting-edge AI/ML solutions into existing products and services
- Work closely with DevOps engineers and cross functional teams to integrate AI/ML solutions into existing workflows or be able to design and deploy new workflows as needed
- Design and spearhead research initiatives on state-of-the-art AI/ML algorithms and technologies
- Design and conduct experiments to solve challenging problems in document analysis and automation
- Work independently to ideate, research, prototype and experiment with novel RAG stack solutions
- Architect scalable, efficient, and maintainable ML systems and pipelines
- Optimize ML system integration performance and resource utilization
- Design and implement ML monitoring and observability systems
- Serve as an experienced source of ML knowledge to less experienced or non-technical cross functional team members
- Foster a culture of innovation, continuous learning, and best practices within the team
- Collaborate with cross-functional leaders to align AI initiatives with product and business strategies
- Stay at the forefront of AI/ML advancements and industry trends
- Identify and evaluate new technologies and methodologies for potential adoption
- Drive the adoption of best practices in AI systems evaluation and benchmarking
AWSLeadershipPythonMachine LearningStrategyAlgorithmsAzureCommunication Skills
Posted 2024-09-28
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