Bachelor's Degree in Mechanical Engineering , Manufacturing/ Industrial Engineering, or a related technical discipline.
Preferably with 1-2 years of working experience in a manufacturing or heavy steel fabrication environment (Fresh graduates with strong technical software skills may be considered.)
Basic to intermediate proficiency in AutoCAD for checking and design interpretation.
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Candidate must process educational qualification in Degree in Engineering related field
Minimum 3–5 years of QA engineering experience in industrial equipment manufacturing or EPC projects, with proven skills in site quality coordination, client interface, and project QA management (experience with Data Center clients is an advantage)
Possess experience in incoming, in process and outgoing inspection.
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Strong problem-solving in production and manufacturing challenges
Ability to interpret engineering drawings and specifications accurately
Leadership and team management experience
Good communication skills for client interaction
Forging processes and metallurgy (carbon steel
stainless steel
alloy steels
nickel alloys)
Heat treatment processes and controls
Machining and fabrication processes
Industry standards: ASME
ASTM
API
ISO
NDT methods: UT
RT
MT
PT
Material traceability and certification requirements
Basic Data Analysis
Strong Written & Verbal Communication
Problem-solving
Project Leadership
Product Quality & Yield Analysis
Product Qualification
Test Program Update & Validation
Customer Return Containment
Teamwork
Flexibility and Adaptability
Fulfillment Operations & Logistics: Oversee daily picking, packing, and dispatch workflows to ensure 100% order accuracy and on-time courier handovers, especially during peak campaign surges.
Inventory Control & Audit: Lead regular cycle counts, conduct periodic stock reconciliations, minimize inventory shrinkage, and ensure real-time accuracy across warehouse management systems (WMS).
Team Leadership & Scheduling: Supervise, train, and schedule warehouse assistants; establish clear daily performance targets and enforce safety and operational standards.
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About the Role:Evolution Commerce is looking for motivated, adaptable HR Interns to join our Business Development Recruitment team, with a key focus on mass hiring for couriers, drivers, sorters, and frontline operational roles.This is not a traditional HR internship. You will be exposed to recruitment as a business function, supporting workforce supply, operational readiness, digital hiring, employer branding, stakeholder management, and AI-enabled recruitment initiatives.As we pivot toward digital reach, you will support recruitment campaigns through digital hiring channels and data-driven candidate outreach. You will also gain exposure to modern recruitment digitalisation, including AI-assisted sourcing, candidate database management, hiring workflows, dashboards, automation support, and continuous process improvement.The role includes hands-on manual tasks, while giving fresh talents the opportunity to learn how people, business, branding, AI, and digital tools work together to solve real workforce challenges.
Requirements- Currently pursuing a Bachelor’s Degree in Human Resources, Business Administration, or related fields.- A CGPA of 3.5 and above is an added advantage.- Good verbal and written communication skills.- Proficient in Microsoft Office, Google Workspace, and Canva.- Familiarity with CapCut, Meta Business Suite, or social media tools is a plus.- Creative, proactive, and willing to appear on social media content or livestreams.- Prior formal or informal gig/work experience is an advantage.
Recruitment & Talent Sourcing
Communication & Stakeholder Management
Digital Recruitment & Social Media
Microsoft Office & Google Workspace
Organization & Time Management
3-5 years' experience in a data analytics or business-facing analytical role, delivering reporting, automation, and data-driven solutions; Reward or HR experience is advantageous but not essential.
Proficiency in Microsoft Copilot, Excel, Power Query, SharePoint, Power BI, Power Automate, Macros, Python, and ideally SQL.
Strong capability in data automation, cleansing, transformation, validation, modelling, and analysis.
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3-5 years' experience in a data analytics or business-facing analytical role, delivering reporting, automation, and data-driven solutions; Reward or HR experience is advantageous but not essential.
Proficiency in Microsoft Copilot, Excel, Power Query, SharePoint, Power BI, Power Automate, Macros, Python, and ideally SQL.
Strong capability in data automation, cleansing, transformation, validation, modelling, and analysis.
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