Harnham | Head of MLOps
Harnham - jersey city, NJ
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Head of MLOpsFinancial ServicesJersey City, New Jersey - 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 AIML 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 AIMLMLOps Engineers to deliver innovative solutions and solve complex problems in the financial services sector.Drive the strategic vision for the firm's AIML frameworks and GPU-powered platforms while staying hands-on with technical execution.Define the strategic direction for AIML 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 AIML workloads.Skills and ExperienceExpert-level proficiency in Python programming and machine learning frameworks like TensorFlow and -depth experience with GPUs and related technologies, including CUDA.Hands-on experience with containerization, cloud platforms, and CICD 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 CICD 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: 2025-01-03