Role Overview - Seeking an experienced Data Scientist with strong hands-on expertise in Generative AI, Retrieval-Augmented Generation (RAG), and Deep Learning. - The role involves building, deploying, and optimizing AI/ML models to solve complex business problems, enhance automation, and develop scalable GenAI applications. Key Responsibilities: - Develop, fine-tune, and deploy Generative AI models (LLMs, diffusion models, transformers). - Design and implement RAG pipelines using vector databases, embeddings, and retrieval frameworks. - Build, train, and optimize deep learning models for NLP, computer vision, and multimodal tasks. - Create scalable end-to-end ML pipelines for production environments. - Conduct data preprocessing, feature engineering, and experimentation. - Evaluate model performance with appropriate metrics and optimize for accuracy, latency, and efficiency. - Collaborate with engineering, product, and business teams to integrate AI solutions into applications. - Research emerging GenAI and DL techniques to enhance existing systems. - Document architecture, workflows, and best practices. Required Skills & Qualifications: - Strong proficiency with Python and ML frameworks (PyTorch, TensorFlow, Keras). - Solid understanding of LLMs, embeddings, transformers, and prompt engineering. - Experience with RAG frameworks (LangChain, LlamaIndex, Haystack) and vector databases (FAISS, Pinecone, Milvus, Chroma). - Hands-on experience with deep learning architectures (CNNs, RNNs, attention models). - Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). - Strong knowledge of data handling, NLP, and model deployment. - Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or equivalent. Preferred Skills: - Experience with MLOps tools (MLflow, DVC, Weights & Biases). - Exposure to multimodal AI (text, image, audio). - Experience working with LLM fine-tuning (LoRA, QLoRA, PEFT). - Knowledge of retrieval optimizations (hybrid search, rerankers, BM25)

Remote

Senior Data Scientist -  AI/ML 

Job Description for Senior Data Scientist -  AI/ML  in Prudent Technologies and Consulting, Inc in  Remote for (6-8) years of experience. Apply Now!