AI Engineer II, Voicebot
Mô tả công việc
Design, build, and own ML solutions for fintech problems: credit scoring, decision and routing engines, fraud and transaction verification, recommendation, user segmentation, and recovery automation.
Take models from prototype to production, building and productionizing training and inference pipelines that serve real-time traffic at scale (sub-200ms latency, high availability).
Partner with Data Engineers, Analysts, Risk, and Product to turn business problems into measurable ML outcomes.
Run rigorous experimentation (A/B tests, backtesting, and simulation) and use the results to drive model and product decisions.
Monitor deployed models for drift, performance, and data-quality issues, owning diagnosis and iteration when metrics move.
Contribute to our shared ML platform, tooling, and MLOps practices, and help raise the engineering bar through code reviews and design discussions.
Explore applied GenAI and agentic systems (LLM-based assistants, retrieval, and workflow automation) where they add real value.
Yêu cầu công việc
2–4 years of hands-on experience building and shipping ML systems to production (fintech, large-scale consumer, or real-time systems a strong plus).
Strong programming skills in Python (production-grade, not just notebooks); working knowledge of Java is a plus.
Practical experience with the modern ML/data stack: Scikit-learn (and/or PyTorch/TensorFlow), FastAPI for model serving, Airflow for orchestration, and Kafka / Spark / Lakehouse or BigQuery for data.
Solid grounding in probability, statistics, and algorithms, and sound judgment about model evaluation, validation, and trade-offs.
Comfortable owning a feature end-to-end and collaborating across Data, Risk, and Product, you communicate clearly and reason about business impact, not just model metrics.
Exposure to MLOps (monitoring, CI/CD for ML), experimentation frameworks, or applied LLM/agentic tooling (e.g., LangChain, vector databases) is a strong plus.