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Top Machine Learning Jobs in Lexington, KY
Fintech • Software • Financial Services
The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.
Top Skills:
AWSDockerGCPKubernetesPythonPyTorchRubyTensorFlow
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
The Research Scientist will lead the development of Latent Space Models to advance voice AI capabilities. Responsibilities include creating neural audio codecs, generative models for human speech synthesis, embedding systems for data control, and optimizing architecture for scalable performance in real-time applications.
Cloud • Hardware • Healthtech • Information Technology • Mobile • Other • Infrastructure as a Service (IaaS)
The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.
Top Skills:
Ai ToolsData Validation ToolsData WarehousingETLMachine LearningMS OfficeNoSQLPythonQa FrameworksScalaSQL
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.
Top Skills:
C++GoJavaMl Tools And FrameworksPython
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
As a Computer Vision/Machine Learning Engineer at Dandy, you will develop computer vision models for 3D scans, research and implement advanced methods, work with large datasets, and maintain MLOps pipelines. Your role will contribute significantly to improving dental technology and practices.
Top Skills:
3D Deep Learning3D Geometric Computer VisionMlopsPythonPyTorch
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Artificial Intelligence • Marketing Tech • Software
As a Senior Backend Engineer focusing on the Machine Learning Platform, you will design and maintain scalable AI solutions, develop distributed systems, collaborate with product and engineering teams, and integrate AI innovations into product development.
Top Skills:
Google Cloud Platform (Gcp)GrpcKafkaKubernetesPysparkPythonSQLTerraform
Digital Media
As a ML Data Engineer II, you'll design and develop data pipelines to extract, enrich, and process metadata. You'll work with teams to deliver scalable metadata solutions and maintain systems at scale, ensuring data accuracy and quality through automation.
Top Skills:
AirflowAWSDatabricksHttp ApisPythonRuby On RailsScalaSparkTerraform
Software
The Head of Applied AI will lead the Applied AI Research team in developing innovative AI technologies for the Descript product. Responsibilities include managing research projects, mentoring team members, collaborating on product integration, developing research strategies, and representing the company at events.
Top Skills:
Ai TechnologiesDeep LearningGenerative Models
Artificial Intelligence • Computer Vision • eCommerce • Retail • Analytics • Generative AI
As a Staff Machine Learning Engineer, you will design and develop scalable ML platforms and services, define and maintain Machine Learning data pipelines, productionize models, optimize performance, automate workflows, and promote best software engineering practices. You'll collaborate with cross-functional teams to drive ML roadmap and architectural decisions while improving productivity through shared tools.
Top Skills:
AzureKubeflowKubernetesMlflowPythonPyTorchRdbmsSeldonTfxTorchscript
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Generative AI
As a Machine Learning Optimization Evangelist, you will educate ML practitioners on optimizing their workloads, promote Hugging Face's integrations with AI partners, publish technical content, and engage in community-building efforts. You will engage with well-known AI companies to enhance their use of Hugging Face tools and platforms.
Top Skills:
AIAi Accelerators (NvidiaAmdAzure)Cloud Platforms (AwsGaudiGCPInferentiaIntelMachine LearningOpen Source DevelopmentPublic SpeakingTechnical Blog WritingTpu)
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