Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries
Requirements
Candidates must hold a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, with a Ph.D. being preferred. They should possess at least 5 years of experience in AI/ML engineering, supported by a strong portfolio of production-level projects, and demonstrate deep knowledge of machine learning and deep learning algorithms such as CNNs, RNNs, Transformers, and LLMs. Proficiency in Python and associated libraries like TensorFlow, PyTorch, Scikit-learn, and Hugging Face is required, alongside experience with MLOps tools like MLflow, Kubeflow, and Airflow, and cloud platforms such as AWS, GCP, or Azure. Furthermore, candidates should have experience deploying and maintaining models at scale, coupled with a strong understanding of data structures, algorithms, and software engineering principles, and excellent problem-solving and communication skills.
Responsibilities
The Senior AI Engineer will be responsible for designing and developing advanced machine learning models and deep learning architectures for real-world problems, leading AI/ML system design including data pipelines, model training workflows, evaluation strategies, and deployment frameworks. They will conduct research and experimentation with new algorithms, tools, and technologies to enhance the company’s AI capabilities, collaborate with product managers, data scientists, and software engineers to translate business requirements into AI solutions, mentor and guide junior AI engineers and data scientists, optimizing and monitoring model performance in production and addressing issues of bias, drift, and latency. The role also involves staying current with AI research, tools, and industry trends, bringing innovative ideas into the team, and contributing to technical strategy and defining the roadmap for AI initiatives.
Skills
Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Scikit-learn
Hugging Face
MLOps
MLflow
Kubeflow
Airflow
Data Pipelines
Model Deployment
AI/ML System Design
Research & Experimentation
Blackstone
Global alternative asset management firm
About Blackstone
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.
New York City, New YorkHeadquarters
1985Year Founded
$18,081.8MTotal Funding
UNKNOWNCompany Stage
Financial Services, Real Estate, EducationIndustries
5,001-10,000Employees