We are seeking an experienced Machine Learning Engineer specializing in Large Language Models (LLMs), Natural Language Processing (NLP), and AI Agents. In this role, you will design, develop, and deploy cutting-edge language models and agent-based systems that drive innovation and deliver value across products and services. Key Responsibilities * Design, fine-tune, and optimize large language models (LLMs) for specific use cases and domains * Lead cross-functional colalboration to integrate ML solutions into products * Conduct experiments, analyze results, and implement improvements to enhance model performance * Develop efficient data processing pipelines for model training and inference * Optimize models for production deployment with attention to scalability and performance * Establish documentation standards and practices for models, datasets, and processes * Drive technical standards and best practices across teams * Spearhead complex ML initiatives from concept to production * Collaborate with leadership to define technical vision and strategy * Evaluate and drive adoption of emerging technologies
Requirements * Proven expertise optimizing large-scale LLM deployments for enterprise use * Deep understanding of the mathematics behind modern machine learning, linear algebra, and statistics * Experience making architectural decisions and trade-off considerations * Deep understanding of ML infrastructure, operations, and monitoring * Excellent problem-solving and analytical thinking skills * Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders * Deep understanding of LLM evaluation methodologies and benchmarking frameworks * Experience designing complex multi-agent systems that operate autonomously
Nice-to-Have skills: * Experience building and leading teams working on LLM/NLP projects * Experience building reusable ML components and platforms * Experience leading ML initiatives across multiple domains or product lines
