IT Control Engineer

Ford Motor Company

IT Control Engineer based in Chennai responsible for deploying applications and supporting IIOT use cases. Working with the In-Plant Implementation team on factory modernization projects.

Posted 6/22/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AngularBigQueryCloudDockerGoogle Cloud PlatformGRPCJavaKubernetesMicroservicesPythonSpringSpring BootSpringBootSQLTypeScript

About the role

Key responsibilities & impact

The In-Plant Implementation team is responsible for deploying applications/Factory of Tomorrow (FoT) use cases required at plant floor in any Ford or JV plant.
The Web/AI developer cum Implementation specialist role is to be a SPOC for a particular plant and fulfill the Application needs for the Prod & Non-Prod requirements that the plant has.
Develop web / AI applications required for IIOT Use cases development and support.
Focus on a particular market's project deployment, Factory Modernization Use cases development and support.

Requirements

What you’ll need

Preferably a B.E degree or equivalent in Computer science or Manufacturing
5 or more years of solid experience in a related field
Proven work history in a multinational company.
Full-Stack Development Expertise: Proven experience building secure, scalable, and high-performance enterprise applications using Java / Spring Boot for backend microservices and Angular (TypeScript) for responsive, modern frontends.
Cloud & DevOps Proficiency (GCP): Hands-on experience deploying and managing cloud-native applications on Google Cloud Platform (GCP) using CI/CD pipelines.
AI/ML & Data Engineering Foundation: Strong conceptual understanding of AI/ML workflows (e.g., predictive maintenance, computer vision, or anomaly detection) and experience working with Python, data pipelines, or ML platforms. Specialized experience in Computer Vision (for defect detection/quality inspection) or Time-Series forecasting (for predictive maintenance) is highly required.
AI Integration & System Architecture: Expertise in containerizing applications and ML models using Docker and Kubernetes (GKE), and integrating AI model inference endpoints (REST, gRPC, or WebSockets) seamlessly into Spring Boot backend architectures.
Database & API Design: Strong proficiency in designing, optimizing, and securing relational databases (Cloud SQL, Big Query), alongside a deep understanding of RESTful API design and integration.
Smart Manufacturing Domain & Problem Solving: Ability to translate physical manufacturing challenges (e.g., equipment downtime, yield optimization) into concrete mathematical/AI problems, collaborating directly with OT (Operational Technology) teams and plant engineers.

Benefits

Comp & perks

Must be fluent in written and spoken English.
Should have worked with cross functional teams and handled communications with suppliers
Capable of working in a culturally diverse environment

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Hard Skills & Tools

Full-Stack DevelopmentJavaSpring BootAngularTypeScriptCloud-native applicationsGoogle Cloud PlatformCI/CD pipelinesPythonMachine Learning

Soft Skills

Problem SolvingCollaboration

Certifications

B.E degree in Computer ScienceEquivalent in Manufacturing