4 applied ml engineer jobs at 4 companies in Parrish, AL

2w
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Senior Machine Learning Engineer
Birmingham, Alabama, United States
$130k-$162k/yr OnsiteFull Time
Tocaro Blue
Tocaro Blue: Develops AI-powered radar and autonomy systems for marine vessels.
7+ YOEAdvanced degree in EE/CS/Robotics,7+ years applying ML and signal processing to dynamic systems,expertise in segmentation/tracking,Python and ML framework experience,ability to deploy models to edge C++ inference.
Python, TensorFlow, Keras, PyTorch, C++, YOLO
6d
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Senior Machine Learning Engineer
Birmingham or Minneapolis or San Francisco
OnsiteFull Time
Shipt
Shipt: Provides same-day delivery services from local retailers via app.
4+ YOE4+ years applying machine learning and statistics in industry, Python development, experiment design and analysis, presenting to stakeholders; MS/PhD preferred.
Python (Programming Language), Artificial Intelligence (AI), Machine Learning (ML), Machine Learning Algorithms
1mo
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Data, Analytics & AI Engineer ONI
Birmingham, Alabama, United States
OnsiteFull Time
O'Neal Industries
O'Neal Industries: Distributes specialty metals and provides industrial metal fabrication services.
5+ YOEBachelor's degree in a related field, 5+ years experience building data pipelines and analytics solutions; proficiency with Azure Data Factory, Boomi, SQL, Power BI, Python, and applied AI/ML skills.
Boomi, Azure Data Factory, Azure SQL Database, Microsoft Fabric, Power BI, Python, SQL, notebooks
1mo
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Technology Engineer - Data and Automation - Enterprise Data Governance
Pittsburgh or Cleveland or Dallas or Birmingham or Strongsville
$55k-$172k/yr OnsiteFull Time
PNC Financial Services
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
3+ YOEDesign and own enterprise data quality platforms, translate governance needs into technical architecture, assess data platforms and integration patterns, apply data quality frameworks, metadata/lineage, and SQL; 3+ years experience and bachelor's degree required.
JIRA, Machine Learning (ML), Scaled Agile Framework (SAFe), SQL, Agile