AI Engineer

Role & responsibilities

• Lead and contribute to end-to-end Generative AI projects, from problem formulation to scalable solution deployment. Prior experience in areas of predictive modelling, classification, and generative capabilities
• Hands-on experience in machine learning, NLP, and transformer-based models, with a strong focus on Generative AI. Prior experience of having used NLP for text generation, summarization, sentiment analysis, named entity recognition, language translation, etc
• Prior experience in prompt engineering, design and implementation of RAG pipelines, including integrating LLMs with vector databases (e.g. Pinecone, Weaviate, FAISS or ChromaDB).
• Prior experience in Azure OpenAI services to design, fine-tune, and deploy state-of-the-art AI models in cloud-based environments
• Strong programming skills in Python for model development, data processing, and scripting.
• Proficiency in working with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, spaCy, NLTK, etc
• Good understanding of statistical concepts, feature engineering, and advanced data analysis techniques.
• Work with open-source generative AI models such as LLaMA, DeepSeek, and Hugging Face Transformers, etc