Mô tả công việc
How You’ll Make an Impact
The Data Science team builds the models and systems behind credit scoring, fraud detection, profit optimization, and conversational AI — including the speech recognition, LLM, and text‑to‑speech technology that powers voice interactions with customers. As an MLE on this team, you'll sit at the center of that conversational AI stack: designing the decisioning logic, tuning the agents, and building the evaluation systems that keep them reliable in production.
You thrive here if you don't wait for a spec before you start testing an idea. You read the data, form a hypothesis, and run the experiment — and when something in the agent's behavior looks off, you notice it before it becomes a support ticket. You're comfortable being wrong in a v1 and fixing it in a v2 shipped the same week.
What You’ll Do
Conversational AI & Agent Design
- Own the design and implementation of conversational and decisioning logic that solves real business problems, not just technical ones.
- Build and customize AGI agents against specific business objectives, and adjust them as those objectives shift.
Model & Prompt Optimization
- Build systems that capture operational and user feedback, and turn that signal into concrete improvements to scripts, prompts, and models.
- Run structured experiments to raise agent performance, synthesizing results into changes you can defend with data.
Quality & Evaluation Systems
- Drive the automated QA and evaluation frameworks that measure agent performance and effectiveness — these are the systems that catch regressions before customers do.
- Build monitoring that surfaces drift early, so quality problems get caught at the source, not after they've shipped.
Data-Driven Decision Making
- Interpret results using statistical techniques and turn them into reports that drive decisions, not just describe what happened.
- Communicate findings clearly to both technical and non-technical stakeholders — a good model means nothing if no one acts on it.
What We’re Looking For
Experience & Background
- Minimum 2 years of experience in IT, Computer Science, Banking, or Finance.
- Proficiency in Python, R, or Java.
- Strong hands‑on experience in machine learning, statistics, and experimentation.
- Experience with SQL databases and statistical analysis.
- Familiarity with bank‑related products like unsecured personal loans and credit cards is preferred.
- Experience with big data processing is a plus.
- Startup or tech background is a strong plus.
How You Work
- You actively use AI tools to craft precise prompts, critically evaluate model outputs, and extend what you can build and ship on your own.
- You experiment proactively instead of waiting to be told what to build — you produce results, then bring them to the table.
- You move fluidly between ML, data, and business context, coordinating across product and engineering without needing a handoff document.
- You treat every failed experiment as a learning input and keep sharpening your craft without being told to.
Skills & Competencies
- Product Architect — Prototypes working agentic systems, reads the metrics they produce, and iterates before anyone has to ask.
- AI Engineer/Architect — Ships end‑to‑end ML and agent systems, owning the path from data pipeline to production behavior.
- AI Operator — Keeps agents performing above quality threshold at target cost, catching drift before it reaches customers.
- Strong English communication skills (spoken and written — professional fluency required).
- High adaptability and comfort operating in fast‑paced, ambiguous environments.
What We Offer
- Opportunity to work and learn from one of the best and brightest technology teams in Vietnam.
- Be part of a winning team with exponential growth regionally, experience recruiting world‑class talents.
- Competitive compensation package, including 13th‑month salary and performance bonuses.
- Comprehensive health care coverage for you and your dependents.
- Generous leave policies, including annual leave, sick leave, and flexible work hours.
- Convenient central district 1 office location, next to a future metro station.
- Onsite lunch with multiple options, including vegetarian.
- Grab for work allowance and fully equipped workstations.
- Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday.
- Unlimited free coffee, tea, snacks, and fruit to keep you energized.
- An opportunity to make a social impact by helping to democratize credit access in emerging markets.