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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models. Ph. D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. Hands-on experience with Databricks and Snowflake for data engineering and analytics.
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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.
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This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. Data Engineer with Databricks. 10 years of experience as a Software Engineer or related role.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. Job Summary:This position will work with cutting edge technology, deliver high quality solutions across various industries, and collaborate with teams on engagements that range in size and scope.
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This role will assess business processes and identify areas of application for RPA technologies, as well as architect, design, develop, and deploy software robots, or bots, to work alongside humans to enhance business process efficiency.
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This position will receive continuous career development opportunities, given the size and potential of client engagements.
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You have hands-on experience with instrumenting multiple technology components: Cloud (AWS, EKS), Containerization (K8S), Orchestration (Terraform, Ansible, Jenkins, Helm Charts), Clustering, CICD tools, etc.
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Hands on experience with cloud services such as AWS EKS, S3, EC2, Aurora / RDS, SQS, SNS, Batch, etc. Minimum of eight years of hands-on experience as a software engineer with at least three years focused on geospatial imagery.
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As an official YouTube Measurement Program Partner, Meta for Business Partner, and TikTok for Business Partner, the company leverages patented machine learning and AI technology to offer major world brands and agencies more precise and transparent brand safety and suitability activation and advertisement impressions measurement solutions on scaled platforms.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with cloud platforms such as Pivotal Cloud Foundry, AWS, and container technologies such as Docker and Kubernetes. Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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machine learning hands on aws cloud jobs Title: engineer
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