Job Description
NYB is seeking an innovative and passionate AI Engineer to join our growing team. The ideal candidate is a proactive, problem-solving engineer with experience in building scalable, high-performance applications. Your expertise will enable NYB to create cutting-edge digital solutions that drive innovation in AI-powered drug discovery.
Responsibilities
As an AI Engineer, your primary responsibilities will include:
- 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.
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Information Technology, or a related field.
- 2-5 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).
- Strong problem-solving skills and the ability to learn new technologies quickly.
- Fluent in English.
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
- Competitive salary
- Workplace: 45-47 Tran Xuan Soan (Monday to Friday 9h-17h)
- 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.
Benefits
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
- Competitive salary
- Workplace: 45-47 Tran Xuan Soan (Monday to Friday 9h-17h)
- 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.