{"id":2820796,"url":"https://alion.io/job/dp-architects-aidata-engineer-intern-2","title":"AI/Data Engineer Intern","company":{"id":233325,"name":"DP Architects","domain":"dpa.com.sg","url":"https://alion.io/company/dpa-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":34,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":233,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Matplotlib","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub","optional":true},{"name":"Jira","optional":true},{"name":"Kanban","optional":true},{"name":"Machine Learning","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"Trello","optional":true}],"status":"live","first_seen_at":"2026-05-12T00:00:00Z","employer_posted_date":"2026-05-12","last_verified_at":"2026-10-18T21:05:08Z","board_verified":true,"closed_at":null,"days_open":161,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":160},"description":"COMPANY:\nSpatial Intelligence For Design Pte Ltd\n\nBUILD YOUR FUTURE WITH US\nEvery DPian Matters is the motto that reflects our core values. DP Architects actively supports the growth of our people through dedicated talent development programmes, clear career pathways and access to global opportunities. Our culture of continuous learning, collaboration and shared purpose develops skilled and engaged people deeply invested in the future of our built environment. Our practice is defined by the pursuit of design excellence, supported by research and innovation, and anchored in teamwork for the collective good. Together, we pursue better-than-sustainable outcomes to shape a regenerative future for our cities and communities.\n\nJOB SUMMARY: \nA hands-on AI/Data Engineering Intern to support our data pipeline and preparation work. You will be working closely with our AI Engineer to design data ingestion pipelines and storage procedures to ensure our data is clean, structured, and ready for use in AI workflows. You will also design algorithms for the actual AI workflows.\nJOB RESPONSIBILITIES: \nData pipeline development:\nAnalyse and provide potential solutions for eliminating uncertainty in identifying objects in construction data;\n\nIntegrate pipeline with existing applications;\n\nDeployment, Security and Maintenance:\nDeploy digital solutions to various environments, ensuring scalability, security, and reliability;\n\nImplement security measures for applications, such as securing APIs, managing authentication and authorization mechanisms, and ensuring data integrity;\n\nMonitor, maintain, and improve the performance of deployed applications, including bug-fixing;\n\nTechnical Collaboration:\nWhen needed, work with stakeholders to understand requirements and technical specifications to deliver functional solutions;\n\nCollaborate with designers, architects, and other team members to ensure solutions meet user needs and project goals;\n\nTesting and Quality Assurance:\nUse test harnesses to test hypotheses and continuously validate efficacy of data verification pipeline and downstream AI workflows;\n\nParticipate in code reviews and contribute to the establishment of best practices;\n\nDocumentation:\nPrepare and maintain clear documentation for developed solutions, including APIs, workflows, and deployment guidelines;\n\nundefined\n\nContinuous Learning:\nStay updated with the latest technologies, frameworks, and tools to contribute innovative ideas to the team;\n\nJOB REQUIREMENTS: \nBachelor’s degree in Computer Science, Software Engineering, or a related field;\nTechnical Skills:\nExperience in:\nData analysis technologies:\nPython;\n\npandas;\n\nmatplotlib;\n\nDatabase technologies: Postgres, MongoDB;\n\nDeployment technologies: Docker;\n\nVersion control: Git;\n\nProblem-Solving Skills: Strong analytical and problem-solving skills with attention to detail;\n\nTeam Collaboration: Ability to work effectively in a team environment, communicate ideas clearly, and 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