About the role
Position: Lead Machine Learning Engineer Location: Remote Job Id: 339 # of Openings: 1 Role: Lead Machine Learning Engineer About interos.ai : Interos is the supply chain risk intelligence company – building the most trusted and transparent supply chains in the world. Our pioneering discovery and monitoring intelligence spans the lifecycle of supply chain risk, enabling faster and more informed threat mitigation. As the world’s first, and only, automated supplier intelligence platform, we continuously map and monitor extended supply chains at speed and scale to protect organizations from regulatory fines, unethical labor, cyber-attacks, and other systemic vulnerabilities. Interos serves a variety of commercial, government, and public sector customers around the world including a host of Global Fortune 500 companies and members of the Five Eyes nations. www.interos.ai
About
the role : We are seeking an experienced Senior Principal/Principal Machine Learning Engineer who will serve as a technical architect for our ML team. This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI-driven solutions seamlessly integrate deeply within Intero’s product. You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and leveraging LLMs, automation frameworks and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents. What you will do: Develop AI-powered agents that integrate deeply into Interos.ai product experience Understanding of AI Lifecycle: Comprehensive knowledge of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation Define best practices for agent design, security, and governance in AI-driven enterprise applications. Work with product, engineering, and data science teams to design and implement AI-based automation solutions. Identify new opportunities to embed AI into the Interos.ai platform. Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time. What you bring: 8+ years of experience in Software development. 5+ years of experience in AI, machine learning, with a focus on enterprise applications. Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph) Experience with enterprise-grade AI architectures, API integration, and large-scale automation. Proficiency in Python, cloud services (AWS), and AI model deployment. Strong problem-solving skills and the ability to translate business needs into AI-powered solutions. Experience in data privacy, security, and compliance for AI in enterprise environments Experience in Data lakes such as Snowflake and Databricks.