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Senior AI/ML Engineer

NATIONMIND LLC

About NationMind LLC:

NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for Senior AI/ML Engineer to join our growing team.

Position: Senior AI/ML Engineer

Employment Type: Contract

14 Years + experience.

Job Summary

We are seeking an experienced Senior AI/ML Engineer with deep expertise in Python, Databricks, and Machine Learning to design, develop, and deploy scalable AI/ML solutions supporting SAP Business Data Cloud (SAP BDC).

Primary Skills
  • Design, develop, and implement scalable machine learning solutions on the Databricks platform leveraging SAP Business Data Cloud (SAP BDC) to deliver advanced analytics and AI-driven business capabilities.
  • Develop robust, high-performance Python-based data pipelines to ingest, transform, analyze, and model large-scale SAP and non-SAP datasets, ensuring data quality, scalability, and reliability.
  • Build, train, evaluate, and deploy production-grade machine learning models that generate actionable business insights and enable intelligent automation across enterprise processes.
  • Collaborate closely with cross-functional teams, including business stakeholders, SAP functional experts, data engineers, and solution architects, to identify AI/ML opportunities and deliver end-to-end data-driven solutions.
  • Demonstrate strong programming expertise in Python with hands-on experience developing scalable, production-ready applications using modern AI/ML frameworks and best software engineering practices.
  • Apply strong Finance domain knowledge to understand business processes, translate functional requirements into AI/ML use cases, and develop solutions that address financial reporting, forecasting, planning, risk analysis, and operational efficiency.
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Vacancy posted 2 days ago
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