Data Scientist

Key Responsibilities: • Design, develop, and deploy LLM-based solutions to address complex business challenges. • Implement and optimize Retrieval-Augmented Generation (RAG) frameworks to enhance information retrieval and contextual understanding. • Develop vectorization pipelines for efficient similarity search, embeddings, and semantic data processing. • Analyze large, unstructured datasets and translate findings into actionable insights. • Collaborate with cross-functional teams, including engineers, product managers, and stakeholders, to integrate AI/ML solutions into production systems. • Stay up-to-date with emerging AI/ML trends, tools, and best practices, particularly in NLP and generative AI. • Optimize model performance, scalability, and reliability in real-world applications. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. • 5+ years of professional experience in data science or machine learning roles. • Hands-on experience with LLMs, RAG architectures, embeddings, and vectorization techniques. • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. • Strong understanding of NLP, semantic search, and AI-driven knowledge management systems. • Experience with cloud platforms (AWS, GCP, or Azure) for AI/ML workloads is a plus. • Excellent problem-solving skills and ability to work independently or in a collaborative team environment.