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We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. 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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At AWS, we're hiring experienced Machine Learning Engineers with a background in NLP, generative AI, and document processing to help our customers understand, plan, and implement best practices around leveraging these technologies within their AWS cloud environments.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Experience working with AWS cloud services: EC2, S3, RDS, Redshift and Glacier/Archival Benefits: BCforward offers all eligible employees a comprehensive benefits package including, but not limited to major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
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Job Title: AWS Cloud Engineer with terraform. sUtilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and service.
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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. As a ML OPS Engineer, you'll be part of a lean software team dedicated to productionizing machine learning applications and systems at scale.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Proficiency in at least one of the following deep learning framework, tensorflow, pytorch.
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Motivate elementary and middle school grade students through social-emotional learning and enrichment activities, including STEAM, as well as academic support. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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AWS certifications (, AWS Certified Solutions Architect, AWS Certified DevOps Engineer) preferred. Job Title: Cloud Engineer - AWSLocation: Lansing,MI (Hybrid)Duration year with possible extension Top Skills & Years of Experience:+ years of Cloud technologies experience, preferably in AWS.Experience with AWS services like S, EC, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), BROSA (OpenShift.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference. Senior Machine Learning / Ops Engineer.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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learning aws jobs Title: devops engineer Company: Pri
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