About the role
As an AI Engineer - I, you will work closely with our AI and Product teams to build, fine-tune, evaluate, and deploy NLP and Generative AI models. You will contribute to the complete AI lifecycle from experimentation and model development to production deployment and optimization.
Responsibilities:
- Design, build, fine-tune, and optimize NLP and Generative AI models for production use cases.
- Work with Transformer-based architectures and modern LLM ecosystems to develop intelligent AI applications.
- Develop model evaluation pipelines, conduct experiments, and improve model performance through data-driven iterations.
- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
- Contribute to AI product development with a strong focus on performance, reliability, and real-world impact.
Requirements:
- 1-3 years of hands-on experience in AI/ML or NLP-focused roles.
- Strong proficiency in Python and AI/ML development frameworks.
- Solid understanding of Natural Language Processing (NLP) fundamentals and Transformer architectures.
- Hands-on experience in model building, training, fine-tuning, and evaluation.
- Strong foundations in Computer Science, Machine Learning, Data Structures, and Algorithms.
- Bachelor's/Master's degree from top engineering institutes such as IITs, IISc, IIITs, BITS, or leading NITs.
Good to Have:
- Experience with LLMs, Retrieval-Augmented Generation (RAG), and model optimization techniques.
- Publications, research papers, patents, or participation in AI/ML competitions.
- Exposure to cloud-based AI deployment and MLOps practices.