Job Summary

Machine Learning Engineer/Data Scientist

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

- Bachelors or Masters degree in Mathematics, Statistics, Computer Science, Data Science, AI, Machine Learning, or a related field.
- 7+ years of skilled 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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