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Ph. D. in Chemistry, Biophysics, Physics, Biology, Computer Science, or a related field, with a strong emphasis on machine learning and computational modeling. Postdoctoral position in machine learning for biomolecular simulation and modeling.
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A validated understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience with deep learning, data science, and NVIDIA GPUs.
$391,300 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Build and facilitate machine learning across large scale systems and campaigns and ensure deployment and updates in partnership with data engineering. 7+ Years of experience in Data Engineering, Analytics and Machine Learning Systems.
$236,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
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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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Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are.
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Essential Skills and Experience:· Experience in data science, machine learning, or a related field. · Understanding of the latest trends and best practices in data science and machine learning, including the use of generative AI models.
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Experience you'll bring:Advanced degree (PhD or MS) in Computer Science, AI, Machine Learning, or a related field. Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions.
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As an Analyst with Kimley-Horn, you will benefit from hands-on experience, technical software and consulting trainings, and developmental programs geared towards growing Kimley-Horns future leaders.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Deploy and manage machine learning & data pipelines in production environments. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
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Fluency in the advanced mathematics of machine learning (MS or higher in Mathematics, Statistics or Engineering strongly preferred). Fluency in Python and state of the art Machine Learning and Artificial Intelligence techniques.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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