Padmi
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Ford Motor Company

automotive manufacturing · electric vehicles

IT Control Engineer

ChennaiPosted 2 months ago
Software engineeringMid-levelFull Time
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JOB DESCRIPTION The In-Plant Implementation team which is under Mfg. IT IPI is responsible for deploying any applications/Factory of Tomorrow(FoT) use cases that are 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 fulfil the Application needs for the Prod & Non-Prod requirements that the plant has. The person also required to develop web / AI applications required for IIOT Use cases development and support. This resource as a Web / AI developer cum Implementation specialist with PDO Plant Floor Services product line will focus on a particular market's project deployment, Factory Modernization Use cases development and support. RESPONSIBILITIES Operational Responsibilities include:- Interact with various stakeholders (Customers, Vendors) to get a detailed insight into solution requirement Manage people, process within the agreed upon framework to execute projects- Develop products/solutions based on latest technology trends / AI technologies Handle the issues arising at the client site and providing necessary customer support during Production trials (TT & PP until Job1) Identify issues in existing processes of client and recommend new technology based cost effective innovative solutions to increase efficiency Perform independently on all assignments with minimum technical / administrative instructions Planning , developing , coordinating , and directing a large and important project or a number of small projects with many complex features Key competencies or skills to be gained in this role:- Increased knowledge in Ford's Plant Controls & Networking Architectures Better understanding of Control standards & PLC Programming standard followed globally Increased awareness on Ford's Production planning & how planning is distributed until shop floor devices Increased visibility with high level management within MFG IT and business stakeholders QUALIFICATIONS Education Qualification Preferably a B.E degree or equivalent in Computer science or Manufacturing No. of Years of Experience 5 or more years of solid experience in a related field Professional Exposure Technical Skills Preferred previous experiences 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. Capable of leading adhoc teams as needed Able to deliver results in a geographically and culturally diverse team of peers and managers Behavioral Skills Capable of working with minimal supervision High sense of integrity and professional work ethics Customer-centric when delivering requirements and solutions Flexible and open to change Problem solver with a constant mindset of innovation and process improvement Ability to communicate and work with diverse teams in high-pressure situations Special Knowledge/Skills Required 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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