Digital Engineering & AI Engineer
TE Connectivity · Bengaluru · onsite · Posted 28d ago
Undisclosed3–6 yrsfulltimeSourced from
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About this role
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Description:
Job Overview
Job Requirements
What your background should look like
Job Overview
Determines problems within specific systems and provides solutions, including designing new systems, platforms or test applications.
Job Requirements
- 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 and implement data flows that connect Engineering evidence.
- Develop modular and reusable software components.
- Integrate AI/ML capabilities into engineering and business applications.
- Support deployment of PoCs and manage the roll-out on-premises or at the cloud.
- Work with engineering stakeholders on solutions which deliver clean data.
- Apply structured development practices including code reviews, testing, documentation, release management, and version control.
- Evaluate technology choices based on scalability, maintainability, reuse, and business value.
- Maintain a feature-first approach, prioritizing usable functionality and simplicity while avoiding unnecessary architectural complexity and tool proliferation.
- Take each task with full scope of responsibility and a hands-on mindset.
What your background should look like
- 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 for the frontend.
- Practical experience with REST APIs, API-based integration, and service-oriented architectures (including MCP).
- Strong understanding of SQL, relational data modeling, and database design.
- Working knowledge of NoSQL databases and their appropriate use cases.
- Good understanding of modular software architecture, reusable components, and separation of concerns.
- Familiarity with cloud computing architectures (AWS and Azure).
- Basic understanding of edge computing and distributed application architectures.
- 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 including testing, debugging, documentation, and code review.
- Exposure to engineering, manufacturing, industrial automation, IoT, machine data, or process data.
- Basic familiarity with CAD/CAE, simulation, digital twins, or model-based engineering.
- Strong analytical and problem-solving capability with the ability to convert loosely defined requirements into implementable solutions.
- Understanding of a scalable and adoptable UX design.
Sourced from naukri
Skills
AutomationCode ReviewApplication Architecturesengineering softwareDatabase DesignCloud Computingapisamazon web servicesedge computingCADdebuggingdeploymentcloudArchitectureDeep LearningData ProcessingMicrosoft AzureData ModelingArtificial Intelligence
About TE Connectivity
TE Connectivity
Electronics Manufacturing
1.2k+
employees
1941
85 years old
Bangalore / Bengaluru, Karnataka
India
About
TE Connectivity specializes in connectivity and sensing solutions, emphasizing sustainability and reliability to address the needs of various industries.
Industries
Electronics ManufacturingInternetTelecomElectronics
Employee ratings
1,327 reviews
4.1/ 5
Culture
4.2
Career growth
3.3
Work-life
4.1
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