Drive Digital Transformation with SAP and AI Technologies

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Current Openings

Artificial Intelligence (AI)

Artificial Intelligence enables businesses to automate processes, analyze large amounts of data, and make intelligent decisions in real time. We develop AI-powered solutions that improve productivity, customer experience, and operational efficiency.

Key Skills: Machine Learning, Deep Learning, TensorFlow & PyTorch, Natural Language Processing (NLP), Python & AI Frameworks, Predictive Analytics

  • USA, Remote
  • 1–3 Years
Generative AI

Generative AI helps businesses create intelligent content, automate workflows, and enhance productivity using advanced AI models and automation technologies.

Key Skills: Large Language Models (LLMs), Prompt Engineering, OpenAI APIs, AI Content Generation, AI Automation, Chatbot Development

  • USA / Remote
  • 2–4 Years
Cloud Computing

Cloud platforms provide scalable, secure, and flexible infrastructure for modern enterprise applications and digital transformation initiatives.

Key Skills: AWS, Microsoft Azure, Google Cloud Platform (GCP), Cloud Security, DevOps, Kubernetes & Docker

  • USA / Remote
  • 2–5 Years
Automation & RPA

Automation technologies help organizations streamline repetitive business processes, reduce manual effort, and improve operational efficiency.

Key Skills: UiPath, Automation Anywhere, Workflow Automation, Process Automation, RPA Development, API Integration

  • USA / Remote
  • 5–6 Years
DATA ANALYST

Analyze, interpret, and visualize complex datasets to extract actionable insights that enhance decision-making processes. Design stored procedures, implement, test, and support user-defined functions in SQL Server Management Studio to support SSIS process workflow. Drive stability, reliability, and performance by optimizing in-application SQL statements using CTE and window functions. Create UML diagrams to visualize data workflows and system interactions. Implement and optimize of Azure SQL Data Warehouse, develop complex stored procedures using SQL. Design an organize data structure that improved data accessibility and reporting efficiency. Manage architecture and flow of data, ensuring accuracy and accessibility. Transform raw data into meaningful insights for strategic planning.

Knowledge Required: Health Systems, Policy and Management, Applied Biostatistics and Public Health Data Management using SAS.

Education Requirements: Master’s degree in the Science, Technology, or Engineering (any), or Public Health is required

  • Work location: Iselin, NJ and various unanticipated locations throughout the U.S.
  • 8–10 Years
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