Data Scientist - NLP/GenAI

Major Job Duties & Responsibilities:

- NLP Application Development: Design, develop, and deploy an intelligent chatbot/virtual assistant using state-of-the-art language models and NLP techniques to ensure the application responds accurately to user queries and maintains context throughout the interaction.

- Working across client teams to develop and architect Generative AI solutions using ML and GenAI.

- Developing and promoting standards across the community.

- Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies.

- Help democratize the AI building process while advancing the capabilities of autonomous and human-controlled agents.

- Setup and train large language models (BERT, GPT-3, etc.) and other state-of-the-art neural networks.

- Data Preprocessing: Clean, structure, and preprocess raw data to make it suitable for use with NLP models, including text normalization, tokenization, and other data transformation techniques.

- Model Training and Validation: Train and fine-tune NLP models using appropriate datasets and validate model performance using suitable metrics and techniques, adjusting model parameters as necessary to optimize performance.

- Integration: Work on integrating the NLP capabilities with various platforms including SAP, Salesforce, SharePoint, and ServiceNow to ensure smooth and efficient data exchange between systems.

- Performance Optimization: Regularly monitor and evaluate the performance of the chatbot/virtual assistant and use analytics to identify areas for improvement and optimize the system for better user experience and accuracy.

- Collaboration: Collaborate with other engineers, data scientists, and business analysts to understand requirements, refine models, and implement NLP solutions.

- Keeping Current with Industry Trends: Stay up-to-date with the latest advancements in NLP, machine learning, and AI and evaluate and adopt new technologies, tools, and methodologies as appropriate to improve our capabilities.

Qualifications (Education/Training, Experience & Certifications):

- Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, AI, Machine Learning, or a related field.

- 7+ years of professional experience in NLP/LLM solutions, with a focus on developing chatbots/virtual assistants or similar applications.

- 7 Years of experience in programming Python/R Proficiency in industry-leading NLP tools, libraries, and frameworks.

Knowledge Skills & Abilities:

- Experience in deep learning and training LLMs.

- Expertise in programming languages commonly used in NLP, such as Python.

- Hands on experience with forecasting, predictive modelling, and classification.

- Hands on experience with AWS services, such as S3, EC2, SageMaker.

- Exposure to Generative AI/OpenAI ChatGPT/LangChain.

- Hands-on experience integrating with platforms like SAP, Salesforce, SharePoint, and ServiceNow is a strong advantage.

- Strong understanding of NLP concepts and techniques, such as tokenization, entity recognition, sentiment analysis, and language modelling.

- Strong understanding in building and maintaining API solutions.

- Excellent problem-solving skills, with the ability to troubleshoot technical challenges and develop effective solutions.

- Strong communication skills, with the ability to explain complex NLP concepts to non-technical stakeholders.

- A collaborative team player who can work effectively in cross-functional teams.

Skills

Data Science, Analytics, Machine Learning, Python, Artificial Intelligence, Data Analytics, Data Modeling, Data Visualization, Data Scientist