Job description

Job Description: Machine Learning Engineer/Data Scientist

MAJOR JOB DUTIES AND RESPONSIBILITIES

• NLP Application Development: Design, develop, and deploy an intelligent chatbot/virtual assistant using state-of-the-art language models and NLP techniques. 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. This includes text normalization, tokenization, and other data transformation techniques.
• Model Training and Validation: Train and fine-tune NLP models using appropriate datasets. 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. Ensure smooth and efficient data exchange between systems.
• Performance Optimization: Regularly monitor and evaluate the performance of the chatbot/virtual assistant. 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. Evaluate and adopt new technologies, tools, and methodologies as appropriate to improve our capabilities.

QUALIFICATIONS (Education/Training, Experience and Certifications)

• Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, AI, Machine Learning, or a related field.
• 5+ years of professional experience in NLP/LLM solutions, with a focus on developing chatbots/virtual assistants or similar applications
• 5 Years of experience in programming Python/R
• Proficiency in industry-leading NLP tools, libraries, and frameworks

KNOWLEDGE SKILLS AND ABILITIES (Those necessary to perform the job competently)

• 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.