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Top Tech Jobs & Startup Jobs in NYC, NY
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a team of data scientists to develop AI/ML solutions, leveraging advanced technologies for customer interactions and product innovations. Build and implement NLP models for large-scale applications while collaborating with cross-functional teams.
Top Skills:
AWSHugging FaceLangchainLightningPythonPyTorchRScalaSQLVectordbs
Reposted One Month AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
The Lead Machine Learning Engineer designs and implements ML applications, builds data pipelines, collaborates with teams, and ensures performance and governance of ML systems.
Top Skills:
AWSAzureDaskGoogle Cloud PlatformJavaPythonPyTorchScalaScikit-LearnSparkTensorFlow
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, validate, and deploy machine learning models across the credit card lifecycle. Partner with cross-functional teams, analyze large numeric and textual datasets using Python, Spark, H2O and cloud platforms, and translate technical insights into business impact for card products.
Top Skills:
AWSCondaH2OPythonRScalaSparkSQL
One Month AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
Lead execution of migrating to a modernized core platform across channels and services. Manage product backlog, scope workstreams, partner with Tech Leads and Product Owners, resolve data gaps, finalize solutions, and ensure operational readiness for agents and customers.
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design and delivery of iOS client solutions, collaborate with product, UX, QA and backend teams, participate in Agile ceremonies, mentor junior engineers, review code and enforce Swift best practices, own major components and platform needs, advocate mobile platform and improve cross-team processes.
Top Skills:
iOSSwift
New
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Fintech • Machine Learning • Payments • Software • Financial Services
Lead design and delivery of Android client features, collaborate with cross-functional teams, mentor engineers, drive mobile best practices, review code, and own major platform components while promoting continuous learning and quality.
Top Skills:
AndroidKotlin
Fintech • Machine Learning • Payments • Software • Financial Services
Lead product strategy and delivery for developer experience tools to improve developer productivity, test automation, and CI/CD pipelines. Partner with engineering and design to define features, drive adoption of development tools and automated testing, measure software quality, and balance strategic vision with execution in ambiguous environments.
Top Skills:
Automated TestingClaudeClaude CodeDevOpsGeminiGoogle Apps ScriptTest Automation
Reposted One Month AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied research to design, train, evaluate, and deploy AI foundation models and recommendation/personalization systems. Collaborate with cross-functional teams to build models at scale using PyTorch, cloud infrastructure, and open-source tools. Publish research, deliver platform-level code, and drive long-term research agendas to improve customer experiences.
Top Skills:
Aws UltraclustersHugging FaceLlmsPyTorchPytorch LightningReinforcement LearningVectordbs
Reposted One Month AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
Lead product vision, strategy, and execution for Treasury, Trading, and balance sheet risk management products. Build and mentor a Product Management organization, prioritize cross-functional work, evangelize strategy to executives, use data to drive decisions, and coordinate launches and optimizations to modernize capital markets data and platforms.
Fintech • Machine Learning • Payments • Software • Financial Services
Lead product management for consumer credit bureau data products: define and operationalize data product roadmaps, prioritize development, set metrics and OKRs, and deliver scalable, resilient data products in partnership with data analysts, engineers, and data scientists to power underwriting, account management, marketing, and strategy.
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