Vietnam Silicon

We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in embedding technologies, deep learning architecture, and language model deployment. The ideal candidate will drive the development of our AI capabilities, lead technical innovation initiatives, and collaborate with cross-functional teams to deliver transformative AI solutions for our clients across Southeast Asia.

Key Responsibilities

1. Design and develop advanced search systems using embeddings, hybrid search, cross-encoders, and reranking techniques.
2. Build and fine-tune deep learning models, implementing custom loss functions for specific use cases.
3. Create and manage high-quality datasets for model training and evaluation.
4. Deploy and optimize Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments.
5. Develop interactive dashboards using Streamlit, Power BI, or Superset to visualize model performance and business insights.
6. Conduct thorough evaluations of model performance using established metrics and testing methodologies.
7. Mentor junior and mid-level data scientists, fostering technical growth and collaboration.
8. Collaborate with business stakeholders to translate requirements into effective AI solutions.
9. Contribute to Vietnam Silicon’s technical leadership in the region through innovative AI projects.
10. Other tasks assigned by the Company or Line Manager

Requirements

1. Bachelor/Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
2. Strong proficiency in mathematics, statistics, machine learning, and predictive modeling.
3. 5+ years of professional experience in machine learning engineering or applied AI research.
4. Proven expertise in embedding technologies, vector search, and reranking systems.
5. Experience with statistical analysis, hypothesis testing, and deriving solutions from research papers or open-source resources.
6. Demonstrated ability to design deep learning architectures and implement custom loss functions.
7. Strong experience in dataset design, creation, and management for AI applications.
8. Proficiency in deploying and optimizing LLMs and VLMs in production environments.
9. Experience building interactive dashboards with Streamlit or similar tools.
10. Advanced Python skills and proficiency with major ML frameworks (PyTorch, TensorFlow, Hugging Face).
11. Strong problem-solving and communication skills.
12. Ability to collaborate effectively with cross-functional teams.

Prefer

1. Experience with GPU cluster management for AI training.
2. Expertise in fine-tuning large language models for specific domains.
3. Familiarity with Southeast Asian languages and regional business contexts.
4. Contributions to open-source ML/AI projects or research publications.
5. Experience implementing AI solutions in enterprise environments.
6. Knowledge of MLOps practices and tools for model deployment and monitoring.