#R-4E6830A09B4E49518DFFAFBA9F43ACA3
ata orchestration and visualization using Python and Streamlit.
RESPONSIBILITIES
Core Competencies:
Collaborates: Builds strong partnerships and works effectively with others to meet shared objectives.
Communicates Effectively: Conveys information clearly across diverse audiences.
Customer Focus: Develops strong relationships and delivers customer-centric data solutions.
Interpersonal Savvy: Engages openly with diverse teams and perspectives.
Data Analytics, Mining & Modeling: Extracts insights, builds models, and drives data-driven decision-making.
Data Communication & Visualization: Tells a compelling story through data visuals and narratives.
Data Literacy & Quality: Ensures reliable, high-quality data across analytics ecosystems.
Values Differences: Recognizes and leverages diverse perspectives for innovation and growth.
Skills & Technical Expertise
Programming & Automation: Advanced Python for data orchestration, automation, and AI workflows; Streamlit for interactive dashboards.
Data Engineering: Hands-on experience with Databricks, PySpark, and Azure Data Lake for scalable ETL and data transformation.
AI & ML: Expertise in RAG frameworks, multimodal data integration, and embedding pipelines for semantic search.
Graph Technologies: Advanced Neo4j graph modeling and GraphRAG for knowledge representation and retrieval.
Vector Databases: Building and managing embedding-based search solutions.
MLOps & Governance: End-to-end model lifecycle management, deployment, monitoring, and compliance.
Problem-Solving & Communication: Strong analytical thinking and ability to collaborate with cross-functional teams.
Domain Knowledge: Understanding of manufacturing quality processes (preferred).
QUALIFICATIONS
Experience:
3-6 years of relevant experience in data engineering, AI application development, and deployment .
Proven hands-on experience in building AI, data, and graph infrastructure across enterprise environments.
Experience in data governance , model lifecycle management , and enterprise analytics enablement .
Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology , or a related technical discipline .
This position may require licensing for compliance with export controls or sanctions regulations.
Role Category - On-site with Flexibility
Dayshift
Job Quality
Organization Cummins Inc.
Role Category Off-site Remote
Job Type Exempt - Experienced
ReqID 2421966
Relocation Package No
100% On-Site No