Senior Manager Machine Learning

Senior Manager of Machine Learning PlatformsJersey City, New Jersey- Hybrid$200,000 - $220,000 + Bonus + EquityMy client is a leading innovator in the financial sector, leveraging advanced technology and engineering solutions to drive business impact through AI and machine learning. They are seeking a Senior Manager of Machine Learning Platforms to lead the development and management of Python programming and AIML runtime environments. This role will focus on building a strong Python user community, delivering tools to enhance workflow efficiency, and developing robust runtime environments that support AIML models on GPU hardware and multi-cloud platforms.ResponsibilitiesDefine and execute a strategic vision for Python and AIML runtime platformsLead and mentor an engineering team focused on Python infrastructure and MLOpsCollaborate with stakeholders to design scalable, containerized runtime environments for AIML workloadsApply MLOps and CICD best practices to automate build and deployment pipelinesEnsure smooth integration and performance of AIML frameworks on Unix-based systems and GPU-supported environmentsDevelop user resources, such as example notebooks, to facilitate AIML framework adoptionAdvocate for best practices in MLOps and stay up to date with advancements in AIML software and infrastructureRequired Skills and ExperienceStrong experience in Python for machine learning or application developmentExpertise in building and maintaining containerized runtime environments for AIML workflowsProven leadership in managing and developing engineering teamsStrong knowledge of Unix-based systems, CICD pipelines, and GPU-supported environments (e.g., CUDA)Familiarity with AIML framework optimizations, including TensorRT, ONNX, and DeepSpeedExperience with container orchestration platforms such as KubernetesProficiency in infrastructure-as-code tools (Terraform, CloudFormation) and cloud platforms (AWS, GCP)Strong problem-solving abilities and the ability to work in dynamic, fast-paced environmentsExcellent communication skills with the ability to convey technical concepts to diverse audiencesCompensation and BenefitsBase salary of $200,000 - $220,000, depending on experiencePerformance-based bonus and competitive equity packageComprehensive benefits, including healthcare, retirement plans, and professional development opportunitiesHow to ApplyTo express interest, please submit your resume to Cassie Wandell via the application link on this page.KeywordsMLOps, Machine Learning, AI, Python, PyTorch, TensorFlow, Deep Learning, CICD, Cloud Computing, Infrastructure, Containerization, Financial Data

Created: 2025-02-10