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Technologies Available to Learn: React, Typescript, and Redux Toolkit Java, Spring and Flink Python, Machine Learning and AI NoSQL, SQL, and Data Warehousing Cloud Security Data Privacy Google Cloud Platform (BigQuery, Pub/Sub, Cloud Composer, Cloud Build, Cloud Run, Cloud SQL, BigTable, and more) How to Apply: If your goal is to become the best engineer you can be, please apply.
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Must have 2 years of experience using database management software, statistical and predictive machine learning software, robotic process automation and AI. Must have 2 years of experience in cloud computing including Microsoft Azure platform and Microsoft Azure Databricks.
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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Excellent written and verbal communications skills, be comfortable presenting to large audiencesAdvanced degree (M.S., or Ph. D.), or equivalent industry experience in software engineering, computer science, machine learning or related fields Experience with one of the cloud platforms AWS/GCP/AzureExperience with CI/CD tools like GitHub Actions, Jenkins etcHow We Get Things Done.
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Recommended coursework: cloud computing,compilers, database systems, distributed systems, functional PL, machine learning, networking. Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular.
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We use cutting-edge technologies like AI, machine learning, cloud computing, and big data analytics to protect investors and ensure market integrity. Knowledge of business, technology and management principles involved in strategic planning, organizational change management, resource allocation, human resources modeling, leadership technique, and coordination of people and resources.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
$153,800 - $216,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As a Customer Engineer, you will work with Technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. Provide machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.
$122,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering. Master's or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
$152,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data mining, machine learning, statistical modeling tools and underlying algorithms. As a Data Science Sr. Manager at CarMax, you’ll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax’s culture of innovation.
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We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
$145,600 - $270,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proven track record of building highly automated machine learning solutions for the cloud. We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
$150Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Voltage Park is on a mission to make machine learning infrastructure accessible to all, from large enterprises and research universities, to seed-stage startups and nonprofits. 7 years of experience as a Product Manager or similar role in FinTech, working on an exchange product, or on cloud management platforms.
$170,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
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