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Senior Software Engineer, AI

Posted 2024-09-28

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💎 Seniority level: Senior, Multiple years of professional experience in AI/ML related engineering roles

📍 Location: Austin, Texas, Atlanta, Georgia, United States

🔍 Industry: Construction or legal tech

🏢 Company: Document Crunch

🗣️ Languages: English

⏳ Experience: Multiple years of professional experience in AI/ML related engineering roles

🪄 Skills: AWSLeadershipPythonMachine LearningStrategyAlgorithmsAzureCommunication Skills

Requirements:
  • 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
Responsibilities:
  • 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
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