Lead and manage a team of AI Software Engineers, fostering a collaborative and high-performing environment. This includes hiring, mentoring, performance management, and career development.
Drive the design, development, and deployment of scalable and reliable AI/ML systems and infrastructure relevant to HR applications (e.g., talent acquisition, performance management, employee engagement, workforce planning).
Ensure the successful deployment, monitoring, and maintenance of AI/ML models in Google's production environments, advocating Machine Learning Operations (MLOps) best practices within the team.
Drive technical excellence within the team, promoting high code quality, thorough testing, and adherence to Google's engineering standards.
Identify and address technical issues and risks, making strategic decisions and trade-offs to ensure timely and high-quality delivery.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
Experience designing, developing, and deploying large-scale AI/ML systems in a cloud environment.
Experience with Google Cloud Platform (GCP).
Understanding of a wide range of machine learning algorithms, statistical modeling techniques, and data analysis methodologies relevant to HR data and issues.
Excellent technical leadership, communication, and people management skills, with the ability to influence and collaborate effectively with both technical and non-technical audiences.
