VP of Machine Learning PlatformsHybrid - NYC Metro Area$210,000-$230,000CLIENTOur client is a leading innovator in the financial sector, leveraging cutting-edge technology and engineering solutions to drive impactful business outcomes by integrating advanced systems, data, and ideas.As a VP of Machine Learning Platforms, you will oversee the development and management of Python programming and AI/ML runtime environments. This includes building a robust Python user community, delivering tools to streamline user workflows, and leading the development of foundational runtime environments that support state-of-the-art AI/ML models using advanced GPU hardware and multi-cloud platforms.THE ROLE
- Define and implement a strategic vision for Python and AI/ML runtime platforms.
- Lead, mentor, and develop a high-performing engineering team specializing in Python and MLOps.
- Drive collaboration and innovation to foster a culture of continuous improvement.
- Work with stakeholders and industry leaders to design scalable, containerized runtime environments for AI/ML models.
- Apply MLOps and CI/CD principles to create fully automated build and deployment pipelines.
- Ensure smooth integration and performance of AI/ML frameworks on Unix-based systems and GPU-supported environments.
- Develop user resources, such as example notebooks, to demonstrate effective AI/ML framework utilization.
- Promote best practices for MLOps and advocate for adopting the latest advancements in AI/ML software and technologies.
YOUR SKILLS AND EXPERIENCE
- Proficiency in Python for machine learning or application development.
- Expertise in building and maintaining containerized runtime environments for data science and machine learning.
- Strong leadership experience with a proven ability to guide and develop engineering teams.
- Solid knowledge of Unix-based systems, CI/CD pipelines, and GPU-supported runtime environments (e.g., CUDA).
- Advanced understanding of Python frameworks, tools, and packages.
- Familiarity with containerization tools (e.g., TensorRT, ONNX, MPI, DeepSpeed) and orchestration platforms like Kubernetes.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and public cloud platforms (e.g., AWS, GCP).
- Exceptional problem-solving skills and the ability to thrive in dynamic environments.
- Strong communication skills to articulate technical concepts to diverse audiences.
BENEFITS
- Competitive base salary: $210,000-$230,000 (dependent on experience)
- Performance-based bonus and comprehensive benefits package
HOW TO APPLYSubmit your resume to Grace McCarthy via the Apply link on this pageKEYWORDSMLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Python | Financial Data | Platform | Deployment | CI/CD | Containerization | Infrastructure