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Python AI/ML AI/Artificial Intelligence
- Design, develop and implement AI/ML models and algorithms for a variety of use cases. - Leverage deep learning, natural language processing (NLP), and large language model (LLM) techniques to analyze complex data, uncover patterns, and support data-driven decision-making across research and development activities. - Fine-tune and deploy transformer-based models for domain-specific tasks such as information extraction, classification, summarization, and similarity detection. - Develop robust and maintainable ML pipelines for data preprocessing, model training, validation, deployment, and monitoring. - Ensure reproducibility and scalability of AI systems through tools such as MLflow, Docker, and cloud services. - Contribute to the continuous improvement of our AI stack by researching, evaluating, and implementing state-of-the-art models and techniques. - Maintain code quality, reproducibility, and documentation standards in all ML projects. - Conduct thorough data-centric approaches - cleaning, augmentation, drift detection, and versioning.
- Master’s degree or higher in Computer Science, Artificial Intelligence, Information Technology, or a related field. - 3 - 5 years of hands-on experience in AI/ML engineering roles. - Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, and Keras. - Experience in developing and serving AI models with FastAPI, Flask, Docker. - Prior experience with LLMs integration (e.g., OpenAI, Claude) and prompt engineering to deploy AI applications. - Solid knowledge in Computer Vision and NLP techniques (e.g., YOLOv5/6, LayoutLM). - Hands-on experience with model optimization tools such as ONNX, TensorRT, and TFLite. - Experience in MLOps tools: MLflow, BentoML, Evidently, Prometheus, Grafana. - Strong data handling and visualization using Pandas, Seaborn, Matplotlib. - Familiarity with DevOps practices and version control (Git/GitHub Actions). - Knowledge/experience in scalable cloud infrastructure (AWS / GCP / Azure). - Fluent in English.
- Competitive salary - Workplace: This role is based in our Hanoi office, located in the vibrant Old Quarter (Mon - Fri) - Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts. - Work on impactful projects that address critical challenges in drug discovery and healthcare.
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