Process Digitalisation Engineer at Titan

Hosur, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Mechanical design, Process innovation, Operations research, Autodesk Inventor, Solidworks, ANSYS, Sensor integration, Embedded control loops, IOT solutions, Data analysis, Root cause analysis, Process flow optimization, CAD, CAE, Manufacturing efficiency, Prototyping

Industry

Retail

Description

Job Requirements Job Description: Process Digitalisation Engineer, Upstream- Hosur Job Description Unique Job Role Process Digitalisation Engineer Function Upstream Reporting to Mr Arun Brakash Business Jewellery ISCM Band L4 Job Details We are seeking a self-driven and creative Process Digitalisation Engineer who is passionate about developing innovative, real-world solutions that transform manufacturing efficiency. This role focuses on understanding and optimizing process flows, identifying bottlenecks, and enabling data-driven improvements using real-time data from digitized systems. The ideal candidate has a strong foundation in mechanical design, process innovation and operations research, with a mindset geared toward building scalable and intelligent solutions. External Interfaces · Database Management and Web-Hosting support vendors · Oracle IT team for data integration Internal Interfaces • Upstream and Downstream Teams • Quality teams • Supply chain and warehouse teams • Planning and KMS teams Job Requirements Education • Bachelor’s degree in Mechanical/Mechatronics/Production Engineering or related field Relevant Experience • 1-2 years in Product development, R&D or process engineering • Experience in electro-mechanical integrations • Skillsets in design and simulation tools such as Autodesk Inventor, Solidworks and ANSYS • Exposure to sensor integration, embedded control loops and IOT solutions is a strong plus Behavioural Skills • Strong communication, analytical and problem-solving skills • Hands-on, iterative mindset for prototyping and testing • Ability to translate R&D insights into scalable production solutions • Curiosity-driven with a strong interest in digital transformation of manufacturing Knowledge • Strong understanding of jewellery casting process i.e lost wax casting • Proficiency in using CAD and CAE tools for realising design and validations • Knowledge on communication protocols and IOT solutions • Knowledge of process flow optimization, root cause analysis, and Operation research concepts Project Contributions Contribution Outcome Performance Measure 1. Data-Driven Improvements via Digitization · 100% real-time visibility all batches in key process across upstream & Downstream · Early detection of 80%+ deviation trends, reducing quality rework by 15–30% · 40 % on individual KRA 2. Gold inventory · 100% real-time visibility of in-process gold inventory across departments · Improved inventory accuracy to >99.5%, minimizing discrepancies between physical and system stock · 40 % on individual KRA Contribution Outcome Performance Measure 1. Data-Driven Improvements via Digitization · 100% real-time visibility all batches in key process across upstream & Downstream · Early detection of 80%+ deviation trends, reducing quality rework by 15–30% · 40 % on individual KRA 2. Gold inventory · 100% real-time visibility of in-process gold inventory across departments · Improved inventory accuracy to >99.5%, minimizing discrepancies between physical and system stock · 40 % on individual KRA 1. Job scheduling and loading · Application of OR/Lean concepts that help in reducing lead time and or improve quality, or provide an optimised allocation · 15–25% reduction in overall lead time through optimized scheduling and workload distribution · 20 % on individual KRA

Responsibilities

The Process Digitalisation Engineer will optimize manufacturing process flows and identify bottlenecks to improve efficiency. They will implement data-driven solutions using real-time systems to enhance inventory accuracy and production scheduling.