Lead Machine Learning Engineer, AI/ML Focus

Salary: $195000 - 267000 per year Requirements: Bachelors degree Minimum of 6 years of experience in crafting and building data-intensive solutions utilizing distributed computing (Internship experience not applicable) At least 4 years of programming experience with Python, Scala, or Java A minimum of 2 years of experience in constructing, scaling, and optimizing machine learning systems Responsibilities: Engage with multiple disciplines such as Operations, Modeling, and Data Engineering as part of the role Design and implement ML models and components to address real-world business challenges in collaboration with Product and Data Science teams Utilize your knowledge of ML modeling techniques to inform infrastructure decisions, including model choice, data, feature selection, and validation Address complex issues by writing and testing application code, developing ML models, and automating tests and deployment processes Work within a cross-functional Agile team to create and enhance software that supports cutting-edge big data and ML applications Retrain, maintain, and oversee models in a production environment Build or utilize cloud-based architectures and technologies to deploy optimized ML models at scale Create efficient data pipelines to feed ML models Adopt best practices in continuous integration and continuous deployment to facilitate successful deployment of ML models and applications Maintain high standards in code management to mitigate vulnerabilities and ensure models are governed according to best practices in Responsible and Explainable AI Use programming languages such as Python, Scala, or Java in your work Technologies: AI Big Data Cloud Support Java Machine Learning Python Scala AWS Azure PyTorch Spark TensorFlow More: At Aperture Cloud, we are seeking a Lead Machine Learning Engineer to become a vital part of our Agile team, focusing on the production of machine learning applications and systems at scale. Our culture emphasizes innovation and continuous improvement, offering opportunities to learn and apply the latest technologies and practices in machine learning engineering. We provide a comprehensive benefits package designed to support your overall well-being and foster an inclusive work environment. Our hybrid work model allows for flexibility in location, and we are committed to creating a diverse and equitable workplace. last updated 28 week of 2026