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Junior AI Developer - Data Engineering Emphasis

Babcock & Wilcox
Posted 4 months ago, valid for 18 days
Location

Akron, OH 44308, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are looking for a Junior AI Developer with a passion for artificial intelligence and data engineering, particularly in the Microsoft ecosystem.
  • Candidates should have a Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, along with familiarity with Microsoft Azure services.
  • The role involves developing and deploying AI models using Azure technologies and supporting data engineering tasks.
  • The position requires proficiency in Python and/or C#, with a salary in the range of $70,000 to $90,000 per year.
  • A minimum of 1-2 years of relevant experience is preferred, along with strong analytical and collaboration skills.

We are seeking a Junior AI Developer with a strong interest in artificial intelligence and data engineering, particularly within the Microsoft ecosystem. This role is ideal for someone who enjoys working with data, building intelligent applications, and learning how to operationalize AI solutions using Azure technologies.

  • Assist in developing and deploying AI models using Azure Machine LearningAzure Cognitive Services, and Azure OpenAI.
  • Support data engineering tasks such as data ingestion, transformation, and pipeline development using Azure Data FactoryAzure Synapse Analytics, and Azure Databricks.
  • Collaborate with software engineers and data scientists to integrate AI models into Microsoft-based applications (e.g., .NETPower Platform).
  • Participate in model evaluation, performance tuning, and responsible AI practices.
  • Contribute to documentation, testing, and version control using Azure DevOps and GitHub.


Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
  • Familiarity with Microsoft Azure, especially services like Azure Machine Learning, Azure Cognitive Services, or Azure Data Factory.
  • Proficiency in Python and/or C#, with experience using libraries such as scikit-learnTensorFlow, or ML.NET.
  • Basic understanding of data pipelines, ETL processes, and structured/unstructured data handling.
  • Experience with Visual StudioVS Code, or Azure Data Studio.
  • Strong analytical, communication, and collaboration skills.

Preferred Qualifications

  • Exposure to Azure SynapseAzure Databricks, or Power BI.
  • Experience with Power Platform tools (Power Apps, Power Automate) for AI integration.
  • Familiarity with GitHub CopilotAzure AI Studio, or Azure OpenAI Service.
  • Understanding of data governancemodel monitoring, and responsible AI principles.



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