AI Engineer

ML Python CI/CD

Salary

Negotiable

Location

Ho Chi Minh

Job Overview And Responsibility

• Develop, train, and fine-tune machine learning models for classification, regression, and clustering tasks • Maintain and optimize data pipelines (ETL) to support model training and inference • Deploy models into production as RESTful APIs or microservices • Monitor model performance in production and implement retraining strategies • Collaborate with data engineers to ensure data quality and availability • Write clear, reproducible code and maintain version control (Git) • Document model architecture, experiments, and deployment procedures • Support cross-functional teams (Product, QA, DevOps) in integrating ML solutions

Required Skills and Experience

• Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field • 3–5 years of experience as an AI Engineer • 1–2 years of hands-on experience building ML models in a professional setting or via substantial projects • Proficient in Python and core ML libraries (NumPy, pandas, scikit-learn) • Practical experience with at least one deep learning framework (TensorFlow or PyTorch) • Familiarity with Docker and basic CI/CD workflows for ML • Strong understanding of software development best practices and code quality • Ability to analyze metrics, diagnose model drift, and optimize performance • Strong English communication skills and ability to work effectively in a team

Why Candidate should apply this position

• 13th-month salary calculated based on actual working time at INNOTECH • PVI Healthcare Insurance for all employees • PVI Healthcare Insurance for family • Mooncake, Tet gift • Quarterly/project kickoff team-building budget • Monthly birthday parties with cake • Laptop and monitor provided for work • Performance bonus plan • Employee referral bonus: 2,000,000 – 10,000,000 VND (depending on level/role) • Annual company trips / Football club / Climbing club / Year-end party • Learning and certification support • Value-oriented, international working environment with a flexible culture

Preferred skills and experiences

• Experience with cloud platforms (AWS, GCP, or Azure) for ML workloads • Knowledge of MLOps tools (MLflow, Kubeflow, TFX, etc.) • Experience with big data ecosystems (Spark, Hadoop, etc.) • Exposure to NLP, computer vision, or recommendation systems • Contributions to open-source ML projects or participation in Kaggle competitions • Proven research track record with ≥1 publication in AI venues