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Engineering Data Analyst AI/Artificial Intelligence Machine Learning NLP
We are seeking an experienced Machine Learning Scientist/Engineer with deep expertise in NLP/GenAI Foundation Models to join our innovative team. As a vital member of our AI department, you will play a significant role in designing, implementing, and deploying GenAI applications to enhance care delivery and quality for patients. The ideal candidate will bring technical proficiency, fluency with foundation models, a genuine interest in the medical domain, and strong critical thinking skills to the role. - Design and develop the next generation of NLP, ML & AI products and services for healthcare, collaborating with MLEs and software engineers to deploy them into production. - Improve processes and tools for generating ground truth to build models. - Lead model evaluation processes to ensure accuracy, fairness, and reproducibility. - Implement and design novel language model approaches inspired by relevant literature. - Stay up to date with the latest advancements in the field and implement state-of-the-art models from the literature for benchmarking. - Document model architectures, design decisions, and codebase to facilitate future maintenance and enhancements. - Work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines.
- Master's or PhD degree in ML, NLP, information retrieval, or a related field. - 3+ years of experience in training, pre-training, and fine-tuning NLP/GenAI models. - Fluent English communication - Experience with state-of-the-art NLP algorithms and AI models. Demonstrated experience with large language model techniques, including prompt optimization and parameter-efficient fine-tuning. - Experience building foundation models. - Experience in experimenting with and building architecture layers in neural networks, and constructing customized loss functions. - Experience with retrieval-augmented generation, model distillation, and reinforcement learning with human feedback (RLHF). - Experience with small and large language models, and multi-modal language models. - Familiarity with NLP similarity metrics and LLM-based evaluation frameworks. Extensive experience with TensorFlow or PyTorch, HuggingFace, Transformers, LangChain, vector databases, and cloud platforms (e.g., Azure). - Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines.
- Mutual Respect: We value individuals who are "relentlessly resourceful." Embrace challenges and concentrate on opportunities rather than obstacles. - Learn & Improve: Continuous learning and enhancement are essential. We view feedback as a valuable gift and an opportunity for growth. - Growth Mindset: We foster a growth mindset, free from fear and judgment. You have the power to learn and evolve, and we celebrate resilience. - Working devices support: We provide top-notch specification devices for our team to maximize productivity - Employee Care: we listen and always improve benefits and perks for our talens - 13th month salary - Social insurance based on full salary - Premium insurance for employees and family - Company trip - Working devices - and many more cool benefits
