Job Description:

Develop solutions for automated document processing and customer service chat bots using cutting-edge artificial intelligence (AI) and machine learning (ML) algorithms.

Build the best-fit solutions leveraging large language models (LLMs) and Generative AI solutions, with a focus on privacy, security, and fairness.

Design the AI's output with nodes and nested nodes in JavaScript Object Notation (JSON) array or Hypertext Markup Language (HTML) formats for as-is consumption and display on dashboards/portals.

Build extensible Application Programming Interface (API) Integrations with short cycle times to extract information from sources, integrate with LLM such as GPT 4o, receive insights, and make them available in intuitive User Interface (UI).

Build solutions that align with responsible AI practices.

Envision the solution outcomes to solve the business problem with actionable insights and design viable solutions to meet the outcomes.

Understand how AI interprets the dataset and uses that understanding to build prompts that lead to expected outcomes.

Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Develop clear and concise documentation, including technical specifications and code-ready templates, to communicate complex AI concepts to technical and non-technical stakeholders.

10.

Establish best practices and standards for generative AI development within the organization.

11.

Focus on speed to market and getting products and services into the hands of stakeholders. Maintain a positive and collaborative working relationship with teams within the organization and the wider business.

12.

Apply creative and inventive problem-solving skills for reduced turnaround times.

13.

Other duties as assigned.

14.

Part-time telecommuting is permitted.

Job Requirements:

Bachelor's Degree or foreign equivalent* in Computer Science, Data Science and Analytics, Engineering, or a closely related field followed by five (5) years of data science experience. Experience must include: Four (4) years of experience in data science. Two (2) years of experience implementing enterprise systems in production setting for Machine Learning (ML) and natural language processing. Five (5) years of experience with data structures, algorithms, and software engineering principles. Two (2) years of experience designing scalable software systems for classification, text extraction/summary, and data connectors for different formats (PDF, CSV, doc, etc.). One (1) year of experience with any deep learning techniques. Two (2) years of experience with natural language processing (NLP) techniques and to

Cardtronics USA, Inc., a subsidiary of NCR Atleos

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