Machine Learning Engineer

Experteer Overview In this role you will shape ML and GenAI features from concept to production, building backend services and data pipelines that power intelligent capabilities. You’ll work with cross-functional teams to deploy robust ML solutions, optimize systems for performance and scalability, and mentor junior engineers. The role emphasizes hands-on experimentation, rapid iteration, and delivering customer-facing features that drive impact. You’ll stay at the frontier of GenAI, prompt optimization, and multi-agent orchestration to deliver measurable outcomes. Compensation / Benefits * Design, build, and optimize backend services powering ML and GenAI features * Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches * Contribute to agentic systems and multi-agent orchestration frameworks * Collaborate with cross-functional teams to productionize ML solutions * Improve efficiency, accuracy, and scalability of AI-enabled systems * Stay updated on ML, GenAI, and prompt optimization research * Mentor junior engineers and grow the team’s technical depth Tasks * Master’s or Ph.D. in Computer Science, Machine Learning, or related field * 5+ years of experience in ML engineering, applied research, or production ML systems * Strong Python software engineering skills including system design, clean architecture, testing, CI/CD, version control, and code reviews * Experience taking ML-powered features from concept to production and iterating * Hands-on experience deploying and monitoring ML models in production * Experience designing or contributing to agentic architectures and multi-agent systems * Strong understanding of classical ML, deep learning, and modern Generative AI techniques * Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment * Solid foundation in data structures, algorithms, and distributed system design * Comfort with leveraging AI coding agents to accelerate development workflows * Excellent communication skills and proven technical leadership Key requirements * comprehensive benefits programs

on ML, GenAI, and prompt optimization research * Mentor junior engineers and grow the team’s technical depth Tasks * Master’s or Ph.D. in Computer Science, Machine Learning, or related field * 5+ years of experience in ML engineering, applied research, or production ML systems * Strong Python software engineering skills including system design, clean architecture, testing, CI/CD, version control, and code reviews * Experience taking ML-powered features from concept to production and iterating * Hands-on experience deploying and monitoring ML models in production * Experience designing or contributing to agentic architectures and multi-agent systems * Strong understanding of classical ML, deep learning, and modern Generative AI techniques * Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment * Solid foundation in data structures, algorithms, and distributed system design * Comfort with leveraging AI coding agents to accelerate development workflows * Excellent communication skills and proven technical leadership Key requirements * comprehensive benefits programs