7 model deployment engineer jobs at 5 companies in Wind Gap, PA
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Machine learning Engineer
Pennington, New Jersey, United States
$105k-$125k/yrOnsiteFull Time
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOEHands-on ML engineer with expertise in model development, MLOps, deployment, feature engineering, and scalable ML pipelines; strong Python, cloud, and data engineering skills.
VerizonNYSE: VZ: Provides wireless, broadband, and telecommunications services to customers.
4+ YOE4+ years relevant experience or Bachelor's degree; hands-on ML model deployment, monitoring, MLOps, cloud experience, and strong software engineering skills.
VerizonNYSE: VZ: Provides wireless, broadband, and telecommunications services to customers.
4+ YOE4+ years relevant experience or Bachelor's degree; 1+ year building/tuning AI/ML or LLM applications; experience with Agile, model deployment, and strong communication and problem-solving skills.
VerizonNYSE: VZ: Provides wireless, broadband, and telecommunications services to customers.
6+ YOE6+ years relevant experience, 4+ years independently developing and deploying production ML/propensity models. Bachelor's degree or equivalent experience, proficiency in Python/R/SQL, strong ML and production deployment skills, excellent communication.
CapgeminiEuronext Paris: CAP: Provides global IT consulting and digital transformation services.
Design and develop Power BI reports, build data models, create DAX and Power Query transformations, connect to multiple data sources, implement RLS, and collaborate with data teams.
Power BI Desktop, Power BI Service, DAX, Power Query (M Language), Microsoft SQL Server, Azure, Oracle, SAP, Microsoft Excel, REST APIs, Azure Data Factory, Azure Synapse, Databricks, Fabric, Power BI Premium, deployment pipelines
Lincoln or Las Vegas or Dallas or Savannah or Nanticoke or United States
HybridFull Time
Spreetail: Accelerates ecommerce sales for brands of oversized products.
5+ YOE5+ years in industrial engineering or fulfillment program management, experience owning multi-million-dollar CapEx projects, facility layout and automation deployment, advanced CAD/SketchUp and data modeling (SQL, Power BI, Python) skills, and executive stakeholder leadership.
5+ YOEBA/BS required; 5+ years in life sciences/healthcare data engineering or data science with ML model development and deployment. Proficiency in Python, SQL, Spark, Git, MLOps, hands-on LLM/genAI experience, and strong communication skills.