Data Engineering & AI Platform Engineer - Quality

Cummins

4.3

(41)

Pune, India

Why you should apply for a job to Cummins:

  • 4.3/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 97% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Annual merit and profit sharing based on individual and company performance.
  • More than 150 employee resource groups (ERGs) worldwide provide opportunities for leadership training and professional development.
  • 55% of Cummins’ Executive Team, made up of leaders guiding company strategy, is made up of women.
  • #R-4E6830A09B4E49518DFFAFBA9F43ACA3

    Position summary

    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

    Why you should apply for a job to Cummins:

  • 4.3/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 97% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Annual merit and profit sharing based on individual and company performance.
  • More than 150 employee resource groups (ERGs) worldwide provide opportunities for leadership training and professional development.
  • 55% of Cummins’ Executive Team, made up of leaders guiding company strategy, is made up of women.