Sa/avp, Program and Platform Specialist

5 days ago

Singapore DBS Bank Full time

Experience: Approximately 3 years in project management and technical coordination within a technology environment. Demonstrated ability to guide technical staff and engage in solutioning discussions.* Technical Skills & Acumen: Solid understanding of AI/Automation Engineer responsibilities and technical stack, including:

- Low-Code AI/Workflow Automation platforms: Familiarity with platforms like Dify.ai, or similar platforms (e.g., UiPath, Automation Anywhere, Make) and a grasp of AI/ML concepts in automation.* Demonstrate Proficiency in Python (automation, AI/ML integration) and familiarity with other scripting languages (JavaScript, PowerShell).* Data Querying (SQL, NoSQL, APIs) and Dashboarding concepts (Tableau, QlikView).* Dashboarding experience: Proven ability to create insightful and visually appealing dashboards using either Tableau or QlikView (or ideally both). Portfolio or detailed project descriptions are required.* Experience with Python automation libraries (Selenium, Playwright, Airflow), workflow tools (Camunda, Power Automate), and AI/GenAI Stack (LLMs, OpenAI APIs, Hugging Face, LangChain, vector databases, RAG, prompt engineering, sandbox prototyping).* Programming Languages & Frameworks* Python (core automation, scripting, AI/ML integration)* JavaScript/TypeScript (for tool UIs or web-based automation triggers)* SQL (for querying, reporting, and workflow logic)* Java or shell scripting for backend-heavy automation* Automation & Workflow tools* Python-based automation: Selenium, Playwright, Airflow, Pandas* Experience building internal tools, bots, or custom workflow engines* Workflow engines or low-code tools (e.g., Camunda, Power Automate, UiPath ?
even if you?re building custom ones)* AI / GenAI stack and Experience
- Experience with LLMs and tools such as OpenAI APIs, Hugging Face Transformers, LangChain, LlamaIndex, or other orchestration tools* Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate)* Working knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and integrating LLMs into practical workflows* Experience deploying AI prototypes in internal sandbox environments* Experience in working with sandbox/staging environments, especially for MVP/prototyping cycles* Program Management & Soft Skills: Strong understanding of project management principles (Agile, Scrum). Excellent communication, analytical, and problem-solving skills. Ability to translate technical concepts for non-technical audiences and influence leadership. Proficient in project management software.* Education: Bachelor?s degree in computer science, Software Engineering, AI/ML, Data Science, or a related highly technical field, or equivalent practical engineering experience.en

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