Desirable Qualifications

• Exposure to Microsoft Azure services such as Azure Functions, Logic Apps, App Services, Storage Accounts, or API Management.
• Experience working with RESTful APIs and JSON/XML data formats.
• Knowledge of CI/CD tools and practices, such as Azure DevOps or GitHub Actions.
• Exposure to AI-assisted development tools, automation, or modern software engineering practices.

Junior Software Engineer (Data Science)

Key Areas of Responsibility

• Design, develop, and maintain scalable ETL/ELT processes to ingest, transform, and integrate data from multiple internal and external sources.
• Contribute to data pipeline modernization and migration projects, ensuring seamless transition, data integrity, and minimal business disruption.
• Analyse large and complex datasets to identify trends, patterns, and actionable business insights.
• Develop, train, evaluate, and deploy machine learning/deep learning models to support predictive analytics and automation initiatives.
• Explore and implement Generative AI and Large Language Model (LLM) solutions to improve business processes and decision-making.
• Implement CI/CD pipelines, automated testing, and DevOps best practices to ensure reliable and efficient deployments.
• Support, enhance, and modernize Triage systems by leveraging AI, machine learning, and cloud-native technologies to improve automation, scalability, and operational efficiency.
• Collaborate with business stakeholders, product owners, and engineering teams to understand requirements and deliver software solutions.
• Develop, test, and troubleshoot application features to improve automation, data validation, and workflow efficiency.

Essential Qualifications

• Bachelor’s degree in data science/AI, computer science, Engineering, or a related discipline.
• Experience with AI/ML libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, Keras, or similar technologies.
• Understanding of Generative AI and Large Language Models (LLMs), including prompt engineering, model fine-tuning, and enterprise AI applications.
• Experience with relational databases and NoSQL.
• Familiarity with source control systems such as Git and collaborative development practices.
• Understanding of software development lifecycle (SDLC) methodologies and Agile development practices.

Desirable Qualifications

• Good foundation in statistics, data structures, and problem-solving.
• Experience with LLMs, prompt engineering, vector search, and RAG frameworks.
• Exposure to AI-assisted development tools, automation, or modern software engineering practices.

Offers of employment are conditional upon passage of screening criteria applicable to the job.

EEO Statement

NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.