Senior Data Specialist

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.