AI Data Scientist - Remote

Overview

We are looking for an exceptional AI / Data Scientist with deep expertise in Generative AI (GenAI) to join our growing Data & AI practice. If you're passionate about pushing the boundaries of what’s possible with LLMs, RAG, and semantic search, and thrive in a collaborative, fast-paced environment, we want to meet you.

In Short

• Design and deploy next-generation AI solutions leveraging Retrieval-Augmented Generation (RAG), embeddings, vector databases, and agentic architectures for real-world automation.
• Build intelligent, agent-based systems for document summarization, knowledge retrieval, content generation, and transforming unstructured data into actionable insights.
• Implement MCP (Model Context Protocol) and multi-agent frameworks to orchestrate complex reasoning, tool usage, and dynamic workflows across LLMs.
• Evaluate, adapt, and fine-tune foundation models (LLMs) for specialized domains, ensuring scalability, reliability, and measurable business impact.
• Develop and maintain embedding pipelines and semantic search capabilities, optimizing similarity search in large-scale vector databases.
• Work with multi-modal data (text, images, structured/unstructured formats) to deliver rich, context-aware GenAI experiences.
• Monitor and enhance model performance focusing on accuracy, latency, and robustness, including LLM evaluation frameworks for continuous improvement.
• Collaborate closely with data scientists to design AI-enhanced analytical workflows, ensuring that GenAI solutions seamlessly integrate with data science models and decision-making pipelines.
• Collaborate cross-functionally with engineers, product managers, and business stakeholders to define approaches and deliver production-ready AI systems.
• Stay ahead of GenAI and Agentic ecosystem advancements, rapidly prototyping new methodologies and integrating state-of-the-art tools and protocols into real-world applications.

Requirements

• Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• 5+ years of experience in data science, machine learning, or applied AI, including deploying solutions at production scale.
• Deep expertise in LLMs and GenAI, including RAG architectures, embeddings, vector search, and agentic orchestration frameworks.
• Strong programming skills in Python and SQL, with hands-on experience using ML/AI frameworks such as Hugging Face, LangChain, LangGraph, PyTorch, or similar toolkits.
• Cloud-native expertise (Azure, AWS, or Databricks) for scalable experimentation, orchestration, and deployment of GenAI services.
• Strong foundation in data science methodologies, including statistical modeling, experimentation, and data-driven problem-solving, with proven experience turning analytical insights into scalable AI solutions.
• Strong analytical and problem-solving skills with a keen eye for optimizing complex data workflows.
• Quick learner with a passion for staying ahead of the evolving GenAI and Agentic ecosystem.

Benefits

• Join a team of outdoor enthusiasts and experienced growth hackers.
• Work in a collaborative and fast-paced environment.
• Contribute to innovative AI solutions that transform and propel growth for organizations.