Job Description

Job Requirements

: Process Digitalisation Engineer, Upstream- Hosur

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