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Position OverviewThe GCP Data Solution Architect (SA) is a pre-sales professional, responsible for solution development in support of Data Modernization and Artificial Intelligence engagements leveraging Google Cloud in collaboration with TEKsystems sales partners.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Design and develop full stack mobile applications focused on health data collection, patient engagement, and digital therapeutics, using Flutter, Google Cloud Compute, Firestore, Amazon Web Services, and Python (including Flask.
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
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We are looking for technologists who will build and manage container platform with GKE on Google Cloud Platform (GCP), collaborate with internal stakeholders - Product, other Site Reliability Engineer (SRE) and support teams, and to rollout new features.
$100,000 - $142,250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with Google Cloud platform (GCP) - specifically Google Kubernetes engine, Terraform, and infrastructure. Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: sklearn, TensorFlow, pytorch etc.
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Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider. Strong experience with deep learning using TensorFlow.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You're experienced with ML Software (e.g., TensorFlow, PyTorch) and cloud environments (Azure, Google Cloud). Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning.
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You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch.
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Preferred Qualifications Experience AND/OR Certification with cloud and container management & security technologies such as: VMWare, AWS, Azure, Google Cloud, Docker, Redhat OpenShift, Amazon Elastic Container Service (ECS), Docker Swarm, Kubernetes, Nomad.
$92,600 - $139,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and implement scalable, reliable, and efficient AI solutions leveraging Google Cloud Platform (GCP) tools such as Gemini and VertexAI. Certifications such as Google Cloud Certified - Professional Cloud Architect or equivalent are a plus.
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Azure/ AWS/ GCP certifications, AWS Machine Learning Specialty, Google Certified Cloud Engineer and Deeplearning.ai certifications on LLMs, prompt engineering. zure/ AWS/ GCP certifications, AWS Machine Learning Specialty, Google Certified Cloud Engineer and Deeplearning.ai certifications on LLMs, prompt engineering.
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