AI/ML Engineer, Lead

AI/ML Engineer, LeadThe Opportunity:

As an AI/Machine Learning Engineer, you'll lead the design, development, and deployment of advanced AI and ML systems that support enterprise products and strategic initiatives. This role combines deep technical expertise with the ability to collaborate across engineering, product, and data teams. The ideal candidate has extensive experience building production-grade ML models, optimizing model performance, and guiding architectural decisions around scalable AI systems. As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution.

What You'll Do

• Design, develop, and deploy machine learning models and AI systems for large-scale production environments.
• Lead end-to-end ML lifecycle processes including data exploration, feature engineering, experimentation, model training, evaluation, and deployment.
• Architect scalable ML pipelines and infrastructure using modern frameworks and cloud technologies.
• Collaborate with cross-functional stakeholders to translate business requirements into ML-driven solutions.
• Mentor junior engineers and contribute to best practices, coding standards, and technical excellence.
• Evaluate and integrate emerging AI technologies, tools, and frameworks aligned with organizational goals.
• Monitor and optimize deployed models for accuracy, performance, drift, reliability, and ethical considerations.
• Partner with data engineering teams to ensure high-quality datasets and robust pipeline integrations.
• Design, build, and deploy large language model (LLM) and agentic AI solutions, including multi-agent orchestration, tool use, autonomous workflows, and retrieval-augmented generation (RAG).
• Optimize and deploy AI/ML models for edge environments, applying t