
Mastering Generative AI
1 day ago
This pivotal role involves designing, developing and deploying state-of-the-art machine learning models focusing on Generative AI and Retrieval-Augmented Generation (RAG). As an AI/ML Engineer, you will be part of a team that drives innovation and progress in the field of Artificial Intelligence.
Key Responsibilities:- Design and develop scalable ML solutions using Large Language Models (LLMs) and RAG architecture.
- Implement and optimize prompt engineering, embeddings, vector databases, and retrieval mechanisms.
- Develop APIs and services to integrate AI solutions into production systems.
- Collaborate with data engineers, product managers, and other stakeholders to define technical requirements.
- Continuously evaluate and improve model performance and accuracy.
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Strong programming skills in Python, including use of libraries like TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.
- Experience with LLMs (GPT, LLaMA, Claude, etc.) and RAG frameworks.
- Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Solid understanding of Natural Language Processing (NLP), embeddings, tokenization, and attention mechanisms.
- Familiarity with APIs, RESTful services, and cloud deployment (AWS/GCP/Azure).
- Strong problem-solving and analytical thinking.
- Excellent verbal and written communication skills.
- Adaptability and willingness to learn emerging technologies.
- Collaboration and teamwork in cross-functional environments.
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