Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should possess at least 6 years of hands-on experience as a Senior AI & ML Engineer, demonstrating strong expertise in machine learning algorithms, deep learning, and AI model development. Proficiency in programming languages such as Python, Java, or Scala is required, along with experience utilizing machine learning frameworks and libraries like TensorFlow, Keras, PyTorch, and scikit-learn. A deep understanding of data preparation, feature engineering, and model evaluation processes is essential, complemented by experience with data visualization tools and techniques. Familiarity with big data technologies like Hadoop and Spark is considered a plus, and a degree in Computer Science, Data Science, Electrical Engineering, or a related field, with a Master's or PhD preferred, is necessary.
The Senior AI & ML Engineer will be responsible for developing and deploying advanced artificial intelligence (AI) and machine learning (ML) models to drive impactful solutions for various projects, collaborating with data scientists, engineers, and product teams to design cutting-edge algorithms and leverage large datasets. They will also be crucial in enhancing products, improving user experience, and solving complex business challenges through the extraction of valuable insights.
Global alternative asset management firm
Blackstone is a leader in alternative asset management, focusing on private equity, real estate, and credit investments. The firm manages over $1.1 trillion in assets and partners with financial advisors to provide access to private markets, aiming to create strong businesses that deliver lasting value. Its main products, BREIT and BCRED, cater to income-focused investors, while the On-Demand Continuing Education Program helps educate investors on private market topics. Blackstone's goal is to identify economic trends and invest in industry-leading businesses to generate strong returns.