**Job overview**

Lead the R\&D team in researching and developing core Deep Learning and Machine Learning models to address market forecasting and revenue optimization challenges through mathematical optimization for GSM’s mobility application.

**Key Responsibilities**

• Research and design Deep Learning/ML architectures and solutions for large\-scale prediction and forecasting tasks.
• Formulate and solve mathematical optimization problems to maximize revenue subject to market and operational constraints.
• Implement, train, and evaluate Deep Learning models.
• Package and deploy solutions to production to serve customers.
• Build, lead, and develop a team of R\&D engineers and specialists; standardize MLOps processes and leverage large\-scale data on Apache Doris and BigQuery.

**Qualifications**

• Education: A PhD or MSc in a field related to the foundations of Deep Learning/Machine Learning is required, with preference given to candidates with a strong foundational understanding.
• A solid mathematical foundation in linear algebra, probability and statistics, and optimization, together with strong analytical thinking.
• Proficiency in the building blocks of artificial neural network architectures, including vanilla feedforward neural networks (FNNs), CNNs, GNNs, and Transformers, as well as traditional Machine Learning methods.
• A strong theoretical understanding of Deep Learning concepts, including mathematical definitions, backpropagation, overfitting, adversarial robustness, data augmentation, and embeddings.
• Proficiency in Python, PyTorch/TensorFlow, SQL, and Pandas, with a good understanding of cloud and big data technologies, including AWS, Apache Doris, and BigQuery.
• Experience deploying DL/ML models to production is an advantage but is not required.
• Ability to read and understand research papers from leading international conferences such as NeurIPS, ICML, and ICLR.
• Ability to manage projects and lead technical teams.

**Why You’ll Love Working at VinSmart Future**

• **National\-Scale Impact**

Contribute directly to technology platforms deployed across the Vingroup ecosystem, creating a meaningful impact on the experiences of tens of millions of users.

• **Competitive Compensation and Benefits**

Receive competitive compensation based on your capabilities, performance\-based bonuses, and comprehensive benefits in accordance with Vingroup policies.

• **International Working Environment**

Work alongside local and international experts in an environment that encourages the use of English, continuous learning, and knowledge sharing.

**Apply via:**

**Email:

[email protected]**

For more information, please contact the Talent Acquisition Department – VinSmartFuture.