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AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with hands-on experience in developing and deploying AI solutions. Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.
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Proficient in cloud computing and are hands-on in at least one cloud platform: GCP, AWS, or Azure. More recently, GPU deep learning ignited modern AI and enabled the next era of computing.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a skilled Software Engineer to join our Data Management team in Austin, TX. This role offers an exciting opportunity to work on building tools and infrastructure for large-scale data collection, storage, and analysis to support machine learning and business operations at Apptronik.
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Our mission is to revolutionize retail intelligence through cutting-edge technologies, including deep learning artificial intelligence, offered as both Data as a Service (DaaS) and Software as a Service (SaaS.
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Care, using machine learning and natural language processing to change how patients. 2+ years of experience testing applications in cloud environments such as AWS, Azure, or GCP. We're looking for a highly skilled SDET with a strong focus on testing, automation, and tool development that accelerates development activities.
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To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Engineer on our ML Platform team, you will help evolve our Machine Learning platform to support hundreds of models. Containerize models using Docker and deploy on cloud platforms (like AWS/GCP/Azure.
$154,440 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Amazon Web Services (AWS), a subsidiary of Amazon.com and a leader in cloud computing, is seeking a Full Stack Software Development Engineer to join our AWS Marketing Insights team on building a Marketing Intelligence Portal.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Monitor various IBM Learning Slack channels providing course developers with assistance who are running into issues with their infrastructure and need guidance on how to proceed and/or fix.
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But days in-office include snacks, drinks, a weekly catered lunch, and access to a full gym and game room on campus. Applying artificial intelligence, including machine learning and generative AI.
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Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines. Significant experience in data mining, machine-learning and operations research.
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5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models. Experience on AWS Bedrock AI models.
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