Job Description/Responsibilities:

The Senior Data Scientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for client in their global expansion. This candidate will assist with deploying ethical, powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. This approach includes working with large language models like Anthropic’s Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI’s GPT-4 and ChatGPT, hosted on Microsoft Azure.

ACCOUNTABILITIES
• Solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.
• Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data.
• Apply machine learning techniques for improving search algorithms.
• Drive best practices for NLP/Machine Learning pipelines.
• Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API\'s, and open-source methods and be able to quickly evaluate alternatives.
• Translate complex business requirements into actionable stories with reasonable time estimates.
• Work with product leaders to apply data science solutions.
 

Required skills:
-Strong coding skills in Python 7+ years
-Be a natural problem solver, able to take a lead in collaborating to resolve issues
-Proficiency in IDE debugging : VSCODE and PYCHARM
-Have communication skills
-4+ years of experience in AI and machine learning
-Deep understanding of machine learning algorithms, classification models, diagnostic testing of models
-Experience working directly and Transformer based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and fine tuning
-Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
-Working understanding of the business risks associated with applying LLM (LangChain) in a business
-Experience working with AWS, RAG, SageMaker, SQL