Senior Data Scientist(NLP)
1 month ago
We are seeking a highly skilled AI Data Scientist to join our Artificial Intelligence and Financial Engineering Team at State Street. As a key member of our team, you will play a critical role in exploring, enabling, and exploiting artificial intelligence, machine learning, natural language processing, and cognitive computing at scale.
Key Responsibilities- Deliver high-quality NLP/NLU related projects and products, with occasional assignments of other types of models.
- Develop expertise in natural language processing, natural language comprehension, and mentor/coach junior resources.
- Integrate, customize, and train well-known models and algorithms in open-source libraries to solve financial market problems and perform validation and bug fixes.
- Support IT integration, QA/UAT, and deployment of AI microservices, operationalizing and productizing resulting models and AI solutions.
- Support production issues related to models and algorithms, including those used in open-source libraries.
- Contribute to NLP-related modeling architecture, technology elevation, design, and implementation.
- Master's degree in Computer Science, Mathematical Finance, or Financial Engineering.
- 3+ years of experience in modern, object-oriented, or functional programming and design (Python, C++, TensorFlow, and PyTorch).
- 3+ years of experience in developing technologies in areas such as Large Language Models, Large Multimodal Models, or other GenAI Models, including finetuning and distributed training strategies, prompt engineering, agent and tools usage, reinforcement learning, etc.
- Familiarity with traditional machine learning (GBDT, random forest, etc.) and deep learning neural networks (CNN, RNN, LSTM, etc.).
- Strong analytical and problem-solving skills.
- Strong computer science and coding skills.
- Ability to work and collaborate well with team members.
- Candidates with top conference papers or influential open-source projects.
- Experience with Linux/Bash scripting, structured and unstructured data management tools (Snowflake, PostgreSQL, Hadoop, etc.).
- Continuous integration & development environments and tools (Azure, AWS, GIT, Maven, Jenkins, etc.).
- Ability to communicate effectively with all parties involved, including management and business stakeholders.
- Passed Charted Financial Analyst (CFA) level 1 examination.
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