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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance. Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done.
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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation/Terraform, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena, AWS AI (Bedrock, SageMaker, Q.
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The Amazon Web Services (AWS) Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of hands-on business intelligence experience, working in a customer-facing technical role (customer success, consulting or pre-sales) Hands-on experience implementing and troubleshooting production business intelligence solutions, using one of the major front-end BI tools.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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Our Engineering team is seeking engineers with strong skills and hands-on experience in designing, constructing, and optimizing large-scale distributed systems, with a particular emphasis on machine learning infrastructure.
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We run primarily on Firebase and GCS, with some machine learning infrastructure on AWS. We're increasingly using Docker (both internally and for customer facing products like our edge inference server.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
$189,560 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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Proficient in key programming languages (Python, React, Javascript), coupled with a hands-on approach to Natural Language Processing (NLP), computer vision, or other AI subfields. We're seeking a driven Software Engineer with a passion for AI and machine learning to build a 0-to-1 product.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are seeking an hands-on software engineer to join our team and drive development and deployment of Applied Machine Learning capabilities into our platform, such as Semantic Search, improved Recommendations, improved Text processing and Translations, and possibly a conversational interface.
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The incumbent is an essential position to the daily function and long-term care of the UCSF Anatomy Learning Center (ALC) on the Parnassus campus and actively participates in exemplifying UCSF's mission and PRIDE values.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. You have experience building data products and abstractions on top of infrastructure (such as Metrics Server, Realtime Job Processing, Self-serve platforms for forecasting, experimentation frameworks, deriving data-driven insights etc.
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Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX. The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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learning hands on aws jobs Title: data engineer Company: Grotech Search in San Francisco, CA
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