Demo

Gen AI Architect

UrBench
Chicago, IL Full Time
POSTED ON 2/18/2025
AVAILABLE BEFORE 5/13/2025

Job Description

Job Description

Immediate Hire : Gen AI Architect | Location : Chicago, IL - Hybrid role |

Strong AI / ML architect with expertise & experience in GenAI. Have implemented multiple AI / ML systems, Solutions in Life Science space.

Responsibilities :

  • Design and lead the implementation of AI-driven solutions aimed at optimizing operational processes and workflows.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
  • Utilize pre-trained large language models (LLMs) and other Generative AItechniques to develop personalized responses tailored to operators' needs.
  • Architect and oversee the development of knowledge bases and databases to store and retrieve relevant information efficiently.
  • Implement unsupervised techniques for data categorization and classification to enhance recommendation accuracy.
  • Explore and integrate state-of-the-art AI technologies and methodologies to continuously improve system performance.
  • Ensure scalability, reliability, and security of AI solutions deployed in production environments.
  • Stay updated on emerging trends and advancements in AI, machine learning, and related fields to drive innovation within the organization.

Requirements :

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field. Advanced degree preferred.
  • Proven experience in designing and developing AI-driven solutions, with a focus on Generative AI and Natural Language Processing (NLP).
  • Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong understanding of large language models (LLMs) and their applications in text generation and understanding.
  • Experience with cloud platforms (e.g., AWS, Azure) and related services for deploying and managing AI solutions.
  • Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Strong analytical and problem-solving abilities, with a keen attention to detail.
  • Demonstrated ability to drive innovation and lead technical initiatives from concept to production.
  • Preferred Qualifications :

  • Experience with prompt engineering techniques for fine-tuning large language models.
  • Knowledge of advanced machine learning techniques such as reinforcement learning and transfer learning.
  • Familiarity with DevOps practices and tools for continuous integration and deployment (CI / CD).
  • Experience working in Agile or other iterative development methodologies.
  • Publications or contributions to the AIand machine learning community (e.g., research papers, open-source projects).
  • UrBench is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws.

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