Data Science Lead

Tasks

• Build RAG pipelines
• Design AI and machine learning architecture
• Drive technical decisions for embeddings and vector databases
• Ensure reproducible testable maintainable workflows
• Establish evaluation and benchmarking frameworks
• Evolve machine learning and GenAI capabilities
• Implement explainability and traceability mechanisms
• Integrate AI into enterprise systems
• Optimize LLM retrieval and validation workflows
• Productionize AI components with engineers
• Scale AI capabilities to enterprise platform

Perks/Benefits

• Fully remote work
• Healthcare coverage
• International projects
• Long-term contract
• Technical ownership

Skills/Tech-stack

Benchmarking | Document Intelligence | Embeddings | Evaluation | Explainable AI | GenAI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | Test automation | Vector Databases