Senior Data Scientist

Responsibilities

• Build and deliver enterprise AI solutions, including LLM integrations, agentic AI workflows, and supporting data pipelines.
• Develop high-quality code in Python following AI engineering standards and technical guardrails.
• Participate in technical design reviews and contribute to the implementation of production-grade applications.
• Evaluate and prototype new AI tools, frameworks, and platforms to support technical recommendations.
• Support AI platform governance by ensuring initiatives meet security, compliance, and responsible AI standards.
• Research and prototype emerging AI/ML techniques and large language models to identify productivity opportunities.
• Collaborate with cross-functional teams including Engineering, Security, Compliance, and Legal.

Requirements

• 5+ years of software or AI/ML engineering experience with a focus on production-grade applications.
• Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), agent frameworks, or MLOps pipelines.
• Proficiency in Python and experience with cloud AI platforms such as GCP Vertex AI, Azure AI, or AWS SageMaker.
• Experience deploying AI applications in cloud environments with a focus on reliability and observability.
• Knowledge of AI orchestration tooling and enterprise AI platforms (e.g., Gemini Enterprise, Microsoft Copilot, or OpenAI Enterprise).

About the Company

Brillio is a digital transformation leader that helps enterprises build modern products and scale their digital capabilities through advanced engineering and data-driven innovation.