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Digital Engineering - SW & AI

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Digital Engineering - SW & AI in Others

  • TE Connectivity
  • Full time
  • Email
  • Bengaluru, India

Responsibilities

  • Develop applications for automation, backend services, data processing, and user-facing solutions.
  • Build and integrate API-driven services across engineering tools, enterprise systems, and databases.
  • Design engineering data flows and develop modular, reusable software components.
  • Integrate AI/ML capabilities into engineering and business applications.
  • Deploy proof-of-concepts and manage solution rollouts on-premises or in the cloud.
  • Collaborate with engineering stakeholders to deliver clean, usable data and scalable solutions.
  • Apply code reviews, testing, documentation, release management, and version control.
  • Evaluate technology choices for scalability, maintainability, reuse, and business value.

Requirements

  • Require 3–6 years of relevant professional experience in software development, AI/ML engineering, systems integration, engineering software, automation, or a related field.
  • Strong proficiency in Python and React.
  • Practical experience with REST APIs, API-based integration, and service-oriented architectures including MCP.
  • Strong understanding of SQL, relational data modeling, and database design, plus working knowledge of NoSQL databases.
  • Familiarity with AWS, Azure, cloud architectures, edge computing, and distributed applications.
  • Working knowledge of machine learning and deep learning concepts, including model training, inference, evaluation, and deployment.
  • Familiarity with generative AI, LLM-based applications, AI agents, or AI-enabled workflow automation is desirable.
  • Working knowledge of Git and collaborative software development practices.
  • Understanding of software quality practices, modular architecture, reusable components, separation of concerns, and scalable UX design.
  • Exposure to engineering, manufacturing, industrial automation, IoT, machine data, process data, CAD/CAE, simulation, digital twins, or model-based engineering.
  • Strong analytical and problem-solving ability, including translating loosely defined requirements into implementable solutions.

TE Connectivity

TE Connectivity designs and manufactures connectors, sensors, and interconnect systems used by automotive, industrial, energy, aerospace, data center, and medical OEMs. It sells these components and related engineering services to equipment makers and system integrators worldwide, supporting appl...

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