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Azure/ AWS/ GCP certifications, AWS Machine Learning Specialty, Google Certified Cloud Engineer and Deeplearning.ai certifications on LLMs, prompt engineering. At least 5 years of extensive experience in Machine Learning algorithms development, Deep Learning ( should be an expert in Neural networks including but not limited to , ANN, CNN, RNN ( LSTM ( BiLSTM, GRU both.
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems. implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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We are looking for a Staff Engineer to join our Machine Learning team. Machine Learning related tech stack and pipeline automation tools. Fundamental understanding of Machine Learning or willingness to learn.
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Lead Machine Learning Engineer (Kubernetes, GPUs, LLMs) Large Language Models, Distributed Systems, HPC Clusters, Machine Learning, Artificial Intelligence, Parallelism, Performance Tuning, Kernel Languages, AI Accelerators, Cloud Services, Kubernetes, Containerization.
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Experience deploying machine learning models in production environments (minimum 1 year). Experience with Docker and/or Kubernetes (minimum 1 year). Proficiency in Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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About the teamWe are seeking a highly skilled Modern Platform Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads.
$110,000 - $175,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Senior Machine Learning Engineer we are seeking will be able to build and scale machine learning models to solve the many business problems emerging from Olo's digital platform and ecosystem.
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Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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We are looking for Scientists and Mathematicians to join our research team and help us solve challenging scientific and computational problems in large-scale machine learning, spatiotemporal data mining, and related areas.
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You will be expected to own the technical side of relationships with Data Science/Machine Learning Engineering leadership at prospective clients, be diligent and detail-oriented in guiding them from technical discovery through structuring and executing an evaluation or proof of concept.
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Work with cross-functional teams to integrate data pipelines into analytics and machine learning models, supporting strategic decisions to help customers effectively manage and reduce their debt.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
$132,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Senior Kubernetes/CNCF Engineer, you will be responsible for evolving the Goldman ecosystem enabling CNCF solutions that drive developer efficiency and infrastructure stability. The move to containers is at the heart of the firm's technology strategy, and the Kubernetes Engineering function within Unix Engineering is at the forefront of providing a container runtime solution on-premise and in the public cloud.
$150,000 - $250,000Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Preferred Qualifications: Experience with machine learning technologies, such as TensorFlow, Vertex, and OpenAI. Experience with containerization technologies, such as Docker and Kubernetes.
$140,000 - $155,000 a yearFull-timeExpandUpdated Today
machine learning engineer kubernetes jobs in New York, NY
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