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23 hours ago
Job Title: AI/ML Engineer – Generative AI
About the RoleThe Generative AI and Retrieval-Augmented Generation (RAG) Engineer will design, develop, and deploy state-of-the-art machine learning models with a focus on generative AI. The role involves building scalable solutions using Python, large language models (LLMs), and retrieval pipelines to solve complex business problems and enhance product capabilities.
Key Responsibilities:- Design, develop, and deploy ML solutions using 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.
- Stay updated with the latest research and developments in GenAI, NLP, and ML.
- Contribute to technical documentation, code reviews, and best practices.
- Ensure all AI solutions comply with ethical and data privacy standards.
- 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 NLP, embeddings, tokenization, and attention mechanisms.
- Familiarity with APIs, RESTful services, and cloud deployment (AWS/GCP/Azure).
- Strong foundation in data structures, algorithms, and ML workflows.
- 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.
- Strong attention to detail and ability to deliver high-quality work.
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