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Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
$250InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data processing (e.g., Spark, BigQuery, DataProc), storage (e.g., S3, Google Cloud Storage), transport (e.g., Kafka, PubSub), and orchestration (e.g., Airflow, Luigi). Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Deep experience and knowledge with Google Cloud Platform, Cloud Dataflow, Airflow, GKE, Pub/Sub, BigQuery, vertex AI, and Dataproc/Spark. The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
$200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models.
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Knowledge of deep learning frameworks such as Caffe, TensorFlow, Pytorch, as well as many other deep learning applications, will be a plus. Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Experience working in machine learning, and technologies such as Amazon SageMaker and Google Cloud ML. Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. pple, google, Paypal, Western Union, Client, visa, Walmart lab. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform. At least 3 years of experience productionizing, monitoring, and maintaining modelsMust have skills:Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor, etc.
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Professional certifications such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Professional Cloud Architect are preferred. Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
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NLP, Text mining, Tableau, PowerBI, Databricks, TensorFlow. Since 2010, we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, etc.
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption.
$192,000 - $264,000 a yearExpandApply NowActive JobUpdated Today
tensorflow learning google cloud jobs Company: Notable Health
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