VP of Machine Learning Platforms

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New York City / $210000 - $230000 annum

INFO

Salary
SALARY:

$210000 - $230000

Location

LOCATION

New York City

Job Type
JOB TYPE

Permanent

VP of Machine Learning Platforms

Hybrid - NYC Metro Area

$210,000-$230,000

CLIENT

Our 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 APPLY

Submit your resume to Grace McCarthy via the "Apply" link on this page

KEYWORDS

MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Python | Financial Data | Platform | Deployment | CI/CD | Containerization | Infrastructure

CONTACT

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