Senior AI Engineer

Job Description

AI/ML Engineering

• Design and develop AI/ML models and end-to-end pipelines: data processing, training, validation, deployment.
• Build scalable and production-ready ML systems with high performance and reliability.
• Optimize models for accuracy, latency, cost, and scalability.
• Implement best practices in MLOps: CI/CD/CT, model serving, monitoring, automation.
• Collaborate with engineering teams to integrate AI into existing platforms and applications.
• Research new AI/ML techniques and quickly prototype proof-of-concepts.

Technical Ownership

• Define architecture for AI solutions and ensure technical quality.
• Review code, maintain coding standards, ensure high-quality deliverables.
• Work closely with Product and Engineering to align AI solutions with business needs.

Job Requirement

Must-Have Requirements

• 5+ years experience in AI/ML Engineering or Data Science.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience deploying ML models to production environments.
• Solid knowledge of data processing (Pandas, Spark, ETL/ELT).
• Experience with cloud platforms (AWS / GCP / Azure) for training & inference.
• Strong fundamentals in machine learning, deep learning, statistics, and optimization.
• Experience with MLOps: Docker, CI/CD, APIs, monitoring, model lifecycle.

Nice-to-Have

1. Domain & Leadership

• Experience in Sourcing, Commercial, Supply Chain, or Manufacturing.
• Experience mentoring engineers or leading small technical teams.

2. Technical

• Experience in Time Series, NLP, Computer Vision, or Generative AI.
• Knowledge of microservices, Kubernetes, distributed systems.
• Cloud AI certifications (AWS/GCP/Azure).
• Master’s or PhD in Computer Science, AI, Mathematics, or related fields.

Personal Qualities

• Strong analytical & problem-solving mindset.
• Self-driven, proactive, and responsible.
• Good communication and cross-team collaboration skills.

Benifits

• Social activities include charity walks, blood donations, and scholarship sponsorships.
• Sports club activities include gymnastics, football, volleyball, table tennis, badminton, and swimming.
• Competitive salary package.
• Personal healthcare (insurance)
• Monthly/quarterly/yearly training and coaching program.
• Performance appraisal and annual bonus as per company policy
• Gifts for birthdays, marriages, housewarmings, sick visits, the mid-autumn festival, Children's Day...
• Year-end party, team building, parent appreciation event, children's summer day...
• Business trip expenses