Video
Local to Raleigh, NC or Dayton, Ohio
No H1
Partnered with a leading software company in Raleigh, NC, looking to hire a Senior Data Scientist to join their team working on their flagship product, a cutting-edge generative AI solution aimed at revolutionizing legal work.
Responsibilities
- Solve complex problems in natural language processing (NLP), machine learning (ML), and information retrieval, including topical classification, sentiment analysis, and user intent detection.
- Research, build, and deploy models based on both shallow and deep machine learning.
- Train robust NLP-based models on a very large corpus of news and financial data.
- Apply machine learning techniques to improve search algorithms.
- Drive best practices for NLP/ML pipelines.
- Stay current with state-of-the-art ML algorithms (e.g., BERT, ELMo, GPT), APIs, and open-source methods.
- Translate complex business requirements into actionable stories with reasonable time estimates.
- Collaborate with product leaders to apply data science solutions effectively.
Required Skills
- Master's or PhD preferred.
- 3-10+ years of experience in AI and machine learning, model building, and strong coding skills in Python.
- 2+ years of experience with large language models (LLMs) like ChatGPT, GPT-3.5, OPT, BLOOM, etc., utilizing Retrieval-Augmented Generation (RAG).
- Experience with Transformer-based architectures (BERT, RoBERTa, T5, etc.).
- Experience with conversational search/semantic search, reinforcement learning, prompt engineering, and hallucination mitigation.
- Proficiency in DevOps repos, debugging, building APIs, and managing the algorithm flow across multiple workstreams.
- Senior-level experience deploying models in the cloud (AWS preferred, Azure secondary).
- Proficiency in IDE debugging: VSCode and PyCharm.
- Strong problem-solving skills and ability to work independently.
- Excellent communication skills.
- Local candidates to Raleigh, NC (hybrid schedule 2x per week) strongly preferred.
- Experience with FANG companies (Facebook, Amazon, Netflix, Google, or Microsoft).
- Experience with cloud computing, especially AWS, SageMaker, SQL, and LangChain.
Additional Skills & Qualifications
- Deep understanding of machine learning algorithms, classification models, and diagnostic testing of models.
- Working knowledge of the business risks associated with applying LLMs in a business context.
Business Drivers/Customer Impact
- This position is crucial for developing advanced machine learning techniques and NLP models for a high-impact product in the legal tech space.