Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist

Description

Build and deploy AI agents and machine learning models using GenAI and agentic workflows. Leverage Microsoft Azure (including Azure Data and AI platforms such as Databricks, Fabric, and AI Foundry) to design secure, scalable solutions. Optimize agent performance through research, evaluation, feedback, and safety/guardrail mechanisms.

Responsibilities

• Develop machine learning solutions using frameworks and libraries such as TensorFlow or PyTorch

• Design and implement intelligent AI agents leveraging LLMs, planning algorithms, and decision-making frameworks

• Build and experiment with GenAI models and agentic workflows for intelligent security solutions

• Create secure, scalable AI agents and integrate them into applications and workflows

• Advance agent capabilities through research, performance evaluation, and safety/guardrail mechanisms

• Continuously optimize performance using feedback mechanisms, reinforcement learning, and user interaction analysis

• Collaborate across backend services, model pipelines, and frontend interfaces

• Rapidly prototype, iterate, and contribute in a startup-style environment

Requirements

• Deep expertise in AI/ML and cloud technologies with a strong focus on Microsoft Azure

• Experience with Azure Data and AI platforms such as Databricks, Fabric, and Microsoft AI Foundry

• Proficiency in Python and other relevant programming languages

• Experience deploying machine learning models and building AI agents

• Experience with GenAI models, LLM-based agentic workflows, and performance evaluation

• Knowledge of security, scalability, and safety/guardrail implementations

• Ability to collaborate across the stack to deliver production-grade AI systems

Benefits

• Prototype quickly, iterate, and help build production-grade AI systems in a startup-style environment

• Work with senior engineers and researchers while supporting backend services, model pipelines, and frontend integrations