AI Data Scientist - Remote

Overview

An overview paragraph about the job

In Short

• Design and deploy next-generation AI solutions using RAG, embeddings, vector databases, and agent-based architectures.
• Build intelligent systems for document summarization, knowledge retrieval, content generation, and transforming unstructured data into actionable insights.
• Implement MCP and multi-agent frameworks for orchestrating complex reasoning, tool usage, and dynamic workflows across LLMs.
• Fine-tune foundation models for specialized domains, ensuring scalability, reliability, and measurable business outcomes.
• Develop and maintain embedding pipelines, semantic search capabilities, and optimization of similarity search in large-scale vector databases.
• Collaborate with cross-functional teams to integrate GenAI solutions with analytical workflows and decision-making pipelines.
• Monitor, evaluate, and enhance model performance focusing on accuracy, latency, and robustness.
• Stay updated on GenAI advancements and rapidly prototype new methodologies, integrating state-of-the-art tools into production.

Requirements

• Proven experience in AI and Data Science.
• Strong understanding of Generative AI technologies.
• Experience with LLMs and embeddings.
• Familiarity with vector databases.
• Ability to work with multi-modal data.
• Strong problem-solving skills.
• Excellent collaboration and communication skills.
• Ability to work in a fast-paced environment.

Benefits

• Opportunity to work on cutting-edge technology.
• Dynamic and collaborative work environment.
• Career growth opportunities.
• Flexible working hours.
• Competitive salary.