Senior AIML Engineer

Overview

Machine Learning Engineer/Data Scientist role focused on building NLP and generative AI solutions, including an intelligent chatbot/virtual assistant, and integrating them with enterprise platforms.

What you'll do

• Design, develop, and deploy an intelligent chatbot/virtual assistant using state-of-the-art language models and NLP techniques, ensuring accurate responses and context maintenance across interactions.
• Work across client teams to develop and architect Generative AI solutions using ML and GenAI.
• Develop and promote standards across the community.
• Evaluate and select appropriate AI tools and machine learning models for tasks, and build and train 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.
• Set up and train large language models (BERT, GPT-3, etc.) and other state-of-the-art neural networks.
• Clean, structure, and preprocess raw data for NLP models, including text normalization, tokenization, and other data transformation techniques.
• Train and fine-tune NLP models using appropriate datasets, validate performance using suitable metrics, and adjust model parameters to optimize performance.
• Integrate NLP capabilities with SAP, Salesforce, SharePoint, and ServiceNow, ensuring smooth and efficient data exchange between systems.
• Regularly monitor and evaluate chatbot/virtual assistant performance, using analytics to identify improvements and optimize user experience and accuracy.
• Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and implement NLP solutions.
• Stay current with advancements in NLP, machine learning, and AI, and evaluate and adopt new technologies, tools, and methodologies.

What you'll need

• 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.
• 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.
• 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.

Nice to have

• Exposure to Generative AI/OpenAI ChatGPT/LangChain.
• Hands-on experience integrating with platforms like SAP, Salesforce, SharePoint, and ServiceNow.

Details

• Location: Pune, India.