Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should possess a Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline, and have at least 7 years of experience in developing and deploying machine learning models in a production environment. Strong programming skills in Python and experience with deep learning frameworks like TensorFlow or PyTorch are essential, along with experience working with large datasets and distributed computing platforms.
As an AI/ML Engineer, VP, you will lead and manage a team of data scientists and engineers focused on developing and deploying machine learning solutions to solve strategic business challenges across BlackRock, driving innovation in asset management through the application of AI and data science. You will be responsible for overseeing the team’s research, development, and implementation of machine learning models, ensuring their scalability, reliability, and impact on key business metrics, as well as collaborating with various business units to identify and prioritize opportunities for AI-driven solutions.