Senior/Expert AI/ML Engineer

Mức lương

25 - 55 triệu

Kinh nghiệm

Trên 5 năm

Hạn nộp hồ sơ

11/12/2025

Địa điểm

Hà Nội

Mô tả công việc

Core AI/ML Development

• Design, train, and optimize ML/DL models for classification, anomaly detection, and time-series forecasting.
• Perform data exploration, feature engineering, and model evaluation using industry-standard frameworks.
• Lead technical discussions and provide guidance on model selection and architecture.

Production Deployment

• Deploy ML models into production on AWS (SageMaker, EKS, EC2 GPU).
• Build scalable inference services and REST APIs (FastAPI/Flask) for real-time or batch model serving.
• Work with Data Engineers to create robust data pipelines and ensure high data quality.

MLOps & System Reliability

• Implement experiment tracking (MLflow/W&B), model monitoring, drift detection, and automated retraining.
• Collaborate with DevOps on CI/CD pipelines, model packaging, and infrastructure automation.
• Optimize model performance, runtime efficiency, and cloud cost.

Data Engineering & Streaming

• Work with big data platforms (Spark/PySpark) for training and large-scale processing.
• Develop streaming pipelines using Kafka or Spark Structured Streaming where required.

Yêu cầu ứng viên

Technical Skills

• Strong proficiency in Python and ML frameworks: scikit-learn, XGBoost, LightGBM
• Deep learning expertise with PyTorch or TensorFlow, particularly LSTM/RNN architectures
• Experience with time-series modeling: ARIMA, Prophet, and neural network approaches
• Hands-on experience with AWS ML services: SageMaker, EKS, EC2 GPU instances
• Proficiency in SQL and experience with big data tools: Spark, PySpark
• Experience with streaming data processing (Kafka, Spark Structured Streaming)
• Knowledge of containerization (Docker) and orchestration (Kubernetes)
• Experience building REST APIs for model serving (FastAPI, Flask)

MLOps & Engineering Practices

• Experience with ML experiment tracking (MLflow, Weights & Biases, or similar)
• Understanding of model monitoring, drift detection, and retraining pipelines
• Familiarity with CI/CD practices and version control (Git)
• Experience with feature stores and data versioning concepts

Preferred Qualifications

• Master's or PhD in Machine Learning, Statistics, or quantitative field
• AWS Machine Learning Specialty certification
• Experience in financial services, credit risk modeling, or fraud detection domains
• Knowledge of supply chain financing or working capital optimization
• Experience with NLP for conversational BI or text analytics
• Familiarity with Apache Iceberg or modern lakehouse architectures
• Experience with ERP data (SAP preferred)
• Bilingual proficiency in Vietnamese and English

Soft Skills

• Strong analytical thinking and problem-solving capabilities.
• Ability to communicate complex ML concepts to non-technical stakeholders.
• Self-motivated and comfortable working in a fast-paced Agile environment (2-week sprints).
• Collaborative mindset, able to work closely with Data Engineers, DevOps, and business teams.
• High attention to detail with strong documentation practices.
• Proactive in identifying opportunities for model optimization and performance improvement.

Quyền lợi/Phúc lợi

• Competitive salary commensurate with experience
• Flexible working hours and remote work options
• Professional development opportunities and training budget
• Modern development tools and equipment
• Collaborative and inclusive work environment
• Performance-based bonuses
• Opportunity to work on cutting-edge projects with international clients

Thời gian làm việc

• Thứ 2 - Thứ 6 (từ 08:00 đến 17:00)

Địa điểm làm việc

• Số 14 ngõ 62 phố Triều Khúc, Phường Thanh Xuân, Thành phố Hà Nội