Director of MLOps

Director of MLOpsFinancial ServicesNew York, New York - 4 days onsite$240,000-260,000 base + bonus + RSUsWe've joined forces with a leading financial powerhouse to find an exceptional leader who will shape the future of their AI/ML platforms. This is your chance to spearhead groundbreaking projects at the cutting edge of technology, with the potential to make a global impact. If you're a GPU mastermind with a burning passion for building MLOps infrastructure from the ground up, this is the opportunity for you.The RoleLead a team of skilled AI/ML/MLOps Engineers to deliver innovative solutions and solve complex problems in the financial services sector.Drive the strategic vision for the firm's AI/ML frameworks and GPU-powered platforms while staying hands-on with technical execution.Define the strategic direction for AI/ML frameworks and GPU-powered platforms.Collaborate with internal and external stakeholders to implement best-in-class tools and technologies.Apply MLOps best practices to create seamless, efficient deployment pipelines.Build and maintain containerized runtime environments for AI/ML workloads.Skills and ExperienceExpert-level proficiency in Python programming and machine learning frameworks like TensorFlow and PyTorch.In-depth experience with GPUs and related technologies, including CUDA.Hands-on experience with containerization, cloud platforms, and CI/CD pipelines.Direct people management experience of modest-sized teamsAbility to gain buy-in from stakeholders across the businessFluent in machine learning operations, runtime, orchestration and workflow optimizationFluent in maintaining containerized runtime environmentsExperience building CI/CD pipelinesDemonstrated ability to balance strategic leadership with hands-on technical execution.BS or MS degree in Computer Science, Computer Engineering or similarTHE BENEFITSA competitive base salary of $240,000-260,000 + bonus + equityHOW TO APPLYPlease register your interest by sending your résumé to Tim Jonas via the Apply link on this page.KEYWORDSMachine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | GPUs | Containerization | PyTorch | Python | CUDA

Created: 2025-02-19