TD
TD
TD jismoniy shaxslar, bizneslar va institutsional mijozlarga chakana va biznes bank xizmatlari, sug‘urta, boylikni boshqarish hamda qimmatli qog‘ozlar xizmatlari orqali xizmat ko‘rsatuvchi Shimoliy Amerikadagi yirik banklardan biridir. Uning keng ko‘lamli faoliyat modeli bank ishi va moliya sohalarida turli hududlar hamda mutaxassislik yo‘nalishlarini qamrab oluvchi martaba imkoniyatlarini taqdim etadi. TD barqarorlik, xilma-xillik, tenglik, inklyuziya va jamiyatga ta’sir masalalariga ham katta e’tibor qaratib, g‘amxo‘rlik, hurmat va xodimlar rivojiga asoslangan ish joyi madaniyatini shakllantiradi.

AI-Native Data Platform Engineering Intern at TD – Dublin (Hybrid)

Join TD Securities in Dublin as a technology intern developing AI agents, APIs, and cloud-native data platforms for financial services. Contribute to RAG, data governance, self-service analytics, and modern platform engineering.

Tavsif

  • Design and develop AI-ready data platform capabilities that support self-service data discovery and access
  • Create AI agents and MCP integrations for natural-language interaction with data products
  • Work with domain owners to understand data products and make them easier to consume
  • Develop APIs, services, and automation frameworks for AI agents and applications
  • Help deliver Retrieval-Augmented Generation solutions using enterprise data sources
  • Support scalable data pipelines and cloud-native data services
  • Build proof-of-concepts across emerging AI, data engineering, and developer productivity technologies
  • Work with platform users to identify friction and improve usability and adoption
  • Create tools for finding datasets, lineage, definitions, ownership, and usage patterns
  • Help maintain governance, security, and access controls for AI-enabled solutions
  • Take part in monitoring, troubleshooting, testing, and ongoing platform improvement
  • Contribute to technical documentation, architecture reviews, and knowledge-sharing activities
  • Use clean code, automated testing, CI/CD, and secure software development practices
  • Investigate emerging AI and data technologies and assess their relevance to the platform

Talablar

  • Be in the penultimate year of a Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or related degree
  • Be enrolled in a Bachelor's or Master's programme
  • Be available for a six-month placement from January through July 2027
  • Have unrestricted authorization to work in Ireland for the full internship
  • Show enthusiasm for using data and AI to solve business problems
  • Bring curiosity and a readiness to investigate emerging technologies
  • Communicate and collaborate effectively
  • Demonstrate strong analytical, problem-solving, and debugging abilities
  • Have programming experience with Java, Python, JavaScript, or C#
  • Understand APIs and contemporary software development principles
  • Have foundational knowledge of SQL and data modelling
  • Be familiar with Git and collaborative software development workflows
  • Have an interest in AI, machine learning, large language models, or intelligent systems
  • Experience with Generative AI, LLMs, RAG, AI agents, or MCP is an advantage
  • Knowledge of data engineering and distributed data processing is an advantage
  • Exposure to Azure, AWS, or Google Cloud Platform is an advantage
  • Familiarity with Databricks, Spark, Dremio, or comparable analytics platforms is an advantage
  • Understanding of vector databases and semantic search is an advantage
  • Experience building APIs with Spring Boot, FastAPI, or similar frameworks is an advantage
  • Knowledge of Docker and Kubernetes is an advantage
  • Interest in Data Mesh, data products, data governance, and AI-enabled analytics

Imtiyozlar

  • Opportunity to receive a variable compensation award
  • Health and well-being support, including medical coverage
  • Paid time off
  • Opportunities for career development
  • Regular career, development, and performance discussions
  • Access to an online learning platform
  • Mentoring programmes
  • Training and onboarding sessions
  • Reward and recognition programmes
  • Accommodation support during recruitment and interviews

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