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1 week ago
We are seeking a seasoned AI/ML professional to spearhead the development of cutting-edge Generative AI solutions.
The ideal candidate will possess extensive experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.
The successful applicant will be responsible for designing, developing, and optimizing LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.
This role requires expertise in classical and deep learning techniques, as well as proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
A strong background in NLP tasks such as text generation, summarization, code generation, and data pipelines for training, validation, and inference is essential.
The chosen candidate will work collaboratively with cross-functional teams to integrate AI models into production applications.
Required Skills & Qualifications:
- 3+ years of experience in AI/ML development.
- Hands-on experience with LLMs, GenAI, and RAG architectures.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.
- Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).
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