Artificial Intelligence Engineer
2 days ago
Experience: 4+ years
Budget: 35 LPA
Location: Gurgaon
Industry: Tech Product
Key Responsibilities:
- Develop and optimize Generative AI models using frameworks such as GPT, BERT, T5, and Anthropic.- Fine-tune and customize transformer-based models for specific use cases to enhance accuracy and efficiency.- Stay updated on advancements in NLP and transformer-based architectures for generative applications.- Deploy and maintain AI solutions in production environments, ensuring scalability and performance.- Work with Retrieval-Augmented Generation (RAG)-based systems for improved model performance.- Leverage diverse database systems, including vector databases (e.g., Pinecone, Faiss) to support AI functionalities.- Conduct AI model benchmarking using recognized NLP metrics and datasets, such as GLUE, SuperGLUE, and SQuAD.- Ensure AI models align with ethical guidelines and reduce bias.
Skills and Qualifications:
- 4+ years of experience in AI engineering, focusing on Large Language Models (LLMs) and Generative AI.- Proficiency in Python and frameworks like TensorFlow, PyTorch, and Keras.- Hands-on experience with training and fine-tuning LLMs (e.g., GPT-3, BERT, T5) and a deep understanding of their architecture.- Strong understanding of transformer models and their practical applications.- Familiarity with cloud platforms (AWS, GCP, Azure) for deploying models.- Proficient in handling large datasets and optimizing models for performance.- Experience with RAG systems and vector databases (e.g., Pinecone, Faiss).- Strong analytical and problem-solving skills.- Familiarity with ML Ops practices is a plus.- Strong communication and collaboration skills.
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