AI/GenAI/NLP Engineer

About the Company :

It is one of the Largest Technology company in the World

Work Location : Anywhere in India

Education : - Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

What would you do?

This role will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life, across industries. Design, develop, and deploy advanced applications and solutions using Generative AI models and NLP algorithms to solve business challenges and unlock new opportunities for our clients.

What are we looking for?

• Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.
• Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.
• Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders
• Works through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring.
• Conduct ML experiments to train/infer models; build models that abide by memory & latency restrictions
• Explore and experiment with novel LLM models, architectures, and techniques to improve NLP outcomes
• Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment
• Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,)
• Highly adept to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas
• Experience working with cloud platforms (AWS, Azure, GCP) and AI-driven cloud governance.
• Collaborate with data scientists and software engineers to implement end-to-end NLP pipelines, including data preprocessing, model training, and deployment.