AI Full-stack Engineering

Introduction

Con Cung is the biggest omni-channel company for mom & baby with 600 retail stores in Vietnam in 2021 and plan to have 1,000 stores by 2023 with 1 billion USD revenue. Con Cung's annual growth rate is more than 70%. With the vision of providing good quality products for children, Con Cung is strongly investing into Product Research and Development in order to manufacture and provide products that are suitable to the local market in terms of pricing and quality. We also invest into technology in order to manage the network and online channel efficiently.

Con Cung Corporation also develops in-house cutting-edge automation and intelligence technologies. We are seeking for young, smart & dynamic talents to grow your career together with us.

Job Description

Job Summary

AI Full-Stack Engineer will bridge the gap between data science and production-grade AI systems. You will design, develop, and deploy end-to-end machine learning solutions that directly impact our 1,000+ retail stores and omni-channel platforms. From exploratory data analysis to optimizing real-time APIs, you’ll own the entire AI lifecycle while collaborating with cross-functional teams to drive business outcomes.

Key Responsibilities

1. End-to-End AI Development

Data Analysis & Modeling:

-   Perform exploratory data analysis (EDA) on retail datasets (sales, inventory, customer behavior).

-   Build and validate ML models (recommendation systems, demand forecasting, customer churn prediction) using frameworks like TensorFlow, PyTorch, or Scikit-learn.

Production Deployment:

-   Containerize models using Docker and deploy scalable APIs (FastAPI/Flask) on cloud platforms

-   Optimize models for low-latency inference (e.g., quantization, ONNX runtime).

MLOps & Infrastructure:

-   Design CI/CD pipelines (GitHub Actions, Jenkins) for automated testing and deployment.

-   Implement monitoring tools (Prometheus, Grafana) to track model performance, data drift, and system health.

2. Cross-functional Collaboration

-   Partner with Data Engineers to improve data pipelines (Kafka, Spark) and feature stores.

-   Work with Product Managers to translate business requirements into technical specifications (e.g., real-time personalized recommendations).

-   Explain model outcomes to non-technical stakeholders via dashboards (Superset).

3. Optimization & Innovation

-   Reduce cloud costs by optimizing resource allocation (GPU/CPU usage, spot instances).

-   Stay updated with cutting-edge tools (e.g., LangChain for LLM integration) and propose innovative solutions.

Job Requirements

-   Master’s degree or PhD’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

-   4+ years experience as a Data Scientist and ML Engineering, preferably in the retail or e-commerce sector.

-   Proficiency in Python, SQL, and data visualization libraries (matplotlib, seaborn, d3.js, CanvasJS).

-   Strong knowledge of machine learning frameworks (TensorFlow, Pytorch, Scikit-learn, XGBoost, AutoML, etc.).

-   Experience with big data technologies (Hadoop, Spark) is a plus.

-   Ability to translate complex data into clear business insights and recommendations.

Benefit

-   Annual bonus: 2 - 3 months under minimum KPI requirement

-   Fast promotion opportunities based on personal ability

-   Work in a dynamic, open, creative environment

-   Regular training, company team building, birthday bonus

About Concung.com

-   Working time: 8:30 - 17:30 Monday - Friday

-   Working place: 14th Floor, Phu My Hung Tower, Tan Phu Ward, Dist. 7, HCMC