Industrial Solutions Consultant / Application Engineer – Manufacturing Solutions

Location

Bangalore (Travel to customer manufacturing sites across India)

Employment Type

Full Time

About Us

We are an industrial intelligence platform focused on improving manufacturing productivity, operational visibility, and process efficiency using AI-powered vision systems and edge analytics.

We work closely with manufacturing companies to build practical, deployable industrial AI solutions across assembly lines, fabrication, machine operations, process monitoring, workforce visibility, and production analytics.

We work with industries such as Automotive, Engineering, Fabrication, Heavy Equipment, EV Manufacturing, Textile, and General Manufacturing.

Role Overview

We are looking for an Industrial Solutions Consultant / Application Engineer who can bridge the gap between manufacturing operations and technology.

The ideal candidate should possess strong manufacturing and industrial engineering knowledge and be capable of studying shop floor processes, identifying operational improvement opportunities, and translating customer requirements into deployable solutions.

This is a customer-facing role requiring frequent visits to manufacturing plants.

Key Responsibilities

Customer Process Study & Discovery

• Visit customer manufacturing facilities to understand existing operations and workflows.
• Conduct detailed shopfloor studies to understand:
• Process flow
• Material flow
• Operator activities
• Machine interactions
• Quality checkpoints
• Bottlenecks and losses
• Interact with:
• Plant Heads
• Production Managers
• Manufacturing Engineers
• Industrial Engineers
• Maintenance Teams
• Continuous Improvement Teams

Solution Identification & Definition

• Identify suitable use cases across:
• Assembly lines
• Fabrication shops
• Welding shops
• Machine shops
• Material movement areas
• Manual and semi-automated operations
• Identify opportunities related to:
• Productivity improvement
• Cycle time monitoring
• Throughput analysis
• Operator utilization
• Process adherence
• Bottleneck identification
• Line balancing
• Idle time analysis
• WIP visibility
• SOP compliance

Pilot Scope Definition

• Define pilot scope including:
• Stations/processes to be covered
• Camera requirements
• KPIs to be monitored
• Success criteria
• Acceptance criteria
• Expected business outcomes

Functional Requirement Definition

• Translate customer requirements into structured engineering inputs.
• Prepare:
• Functional Requirement Specifications (FRS)
• Use-case documents
• Process flow diagrams
• KPI definitions
• User stories
• Acceptance criteria

Internal Coordination

• Work closely with:
• Founder
• Technical Pre-Sales Team
• CTO
• AI/ML Team
• Embedded Team
• TPM / Delivery Manager
• Deployment Engineers
• Ensure engineering teams clearly understand customer expectations and intended business outcomes.

Pilot Execution & Validation

• Support pilot deployments and validation activities.
• Validate whether deployed solutions meet customer expectations.
• Gather customer feedback and recommend improvements.

Candidate Profile

Education

Preferred:

• B.E/B.Tech in:
• Mechanical Engineering
• Production Engineering
• Industrial Engineering
• Manufacturing Engineering
• Mechatronics

Experience

• 3 to 5 years of relevant experience.

Experience in one or more of the following areas:

• Industrial Engineering
• Manufacturing Engineering
• Production Engineering
• Lean Manufacturing
• Continuous Improvement
• Manufacturing Consulting
• Industrial Automation
• MES/MOM implementation
• Digital Manufacturing initiatives

Preferred Industry Exposure

Experience in one or more industries:

• Automotive
• Auto Components
• Heavy Engineering
• EV Manufacturing
• Fabrication & Welding
• Industrial Machinery
• General Manufacturing
• Textile Manufacturing

Technical Skills

Good understanding of:

• Manufacturing processes
• Industrial engineering concepts
• Cycle time studies
• Time & motion studies
• Lean manufacturing concepts
• Line balancing
• OEE and productivity metrics
• Process mapping
• Continuous improvement methodologies

Basic understanding of:

• Industrial automation systems
• Cameras and machine vision systems
• Industrial networking
• AI/Computer Vision applications in manufacturing

Soft Skills

• Strong analytical and problem-solving skills
• Excellent observation skills
• Structured thinking and documentation capability
• Strong customer interaction skills
• Ability to work independently in factory environments
• Excellent communication and presentation skills

Good to Have

• Exposure to AI/vision-based industrial applications
• Experience in digital transformation initiatives
• Knowledge of MES/MOM systems
• Familiarity with Lean, Six Sigma, Kaizen, or TPM methodologies

What Success Looks Like

Within 6 months, the candidate should be able to:

• Independently conduct factory studies.
• Identify high-value use cases.
• Define pilot scope and KPIs.
• Translate customer requirements into engineering inputs.
• Become the primary bridge between customer operations and engineering teams.

Compensation

₹4LPA – ₹6 LPA (Depending on experience and manufacturing domain expertise)

Travel Allowance and Expenses: As per company policy.

Pay: ₹400,000.00 - ₹600,000.00 per year

Work Location: In person