Senior AI/ML Engineer
Posted Updated 5
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Summary
Senior AI/ML Engineer designs and deploys scalable machine learning solutions on Databricks using SAP Business Data Cloud, building Python pipelines and models for enterprise analytics and automation.
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
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.