166 Manufacturing jobs in Gandhinagar
Manufacturing Engineer
Posted today
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Job Description
Hiring For USA Based Multinational Company
We are looking for an experienced and detail-oriented Manufacturing Engineer to join our team. The ideal candidate will focus on improving manufacturing processes, optimizing production efficiency, and ensuring product quality. As a Manufacturing Engineer, you will collaborate with various teams, including production, quality assurance, and R&D, to design and implement cost-effective manufacturing solutions that meet both operational and customer requirements.
- Design, develop, and optimize manufacturing processes to improve production efficiency, reduce costs, and increase product quality.
- Identify process bottlenecks and implement solutions to improve production workflows, reduce downtime, and enhance throughput.
- Develop and refine standard operating procedures (SOPs) for manufacturing processes, ensuring they meet industry standards and regulatory requirements.
- Select and implement new manufacturing equipment or tooling that can enhance production capabilities.
- Oversee the installation, testing, and validation of new machinery and equipment.
- Collaborate with maintenance teams to ensure the proper upkeep of manufacturing equipment and troubleshoot equipment-related issues.
- Provide technical support to the production floor, troubleshooting and resolving issues that impact product quality or manufacturing efficiency.
- Work closely with production teams to ensure smooth day-to-day operations, address process-related challenges, and maintain workflow.
- Ensure adherence to safety standards and best practices in manufacturing operations.
- Collaborate with quality control teams to develop and implement testing and inspection processes for raw materials, components, and finished products.
- Work to resolve any quality issues and ensure that products meet the required specifications and customer standards.
- Perform root cause analysis for manufacturing defects or quality failures and recommend corrective actions.
- Participate in Lean Manufacturing or Six Sigma initiatives to improve processes and reduce waste (e.g., time, materials, energy).
- Analyze production data and key performance indicators (KPIs) to identify areas for continuous improvement.
- Implement automation solutions and new technologies to improve operational efficiency.
- Maintain detailed records of process changes, equipment specifications, and production reports.
- Provide regular reports on project progress, production metrics, and cost-saving initiatives to management.
- Document technical designs, processes, and testing procedures to ensure compliance with industry regulations and company standards.
- Work closely with other engineering teams (e.g., Design, R&D) to develop new products and transfer them from design to production.
- Collaborate with supply chain and procurement teams to ensure the availability of materials and resources for production.
- Support the development and training of manufacturing personnel on new processes, equipment, and best practices.
Manufacturing Engineer
Posted today
Job Viewed
Job Description
Hiring For USA Based Multinational Company
We are looking for an experienced and detail-oriented Manufacturing Engineer to join our team. The ideal candidate will focus on improving manufacturing processes, optimizing production efficiency, and ensuring product quality. As a Manufacturing Engineer, you will collaborate with various teams, including production, quality assurance, and R&D, to design and implement cost-effective manufacturing solutions that meet both operational and customer requirements.
- Design, develop, and optimize manufacturing processes to improve production efficiency, reduce costs, and increase product quality.
- Identify process bottlenecks and implement solutions to improve production workflows, reduce downtime, and enhance throughput.
- Develop and refine standard operating procedures (SOPs) for manufacturing processes, ensuring they meet industry standards and regulatory requirements.
- Select and implement new manufacturing equipment or tooling that can enhance production capabilities.
- Oversee the installation, testing, and validation of new machinery and equipment.
- Collaborate with maintenance teams to ensure the proper upkeep of manufacturing equipment and troubleshoot equipment-related issues.
- Provide technical support to the production floor, troubleshooting and resolving issues that impact product quality or manufacturing efficiency.
- Work closely with production teams to ensure smooth day-to-day operations, address process-related challenges, and maintain workflow.
- Ensure adherence to safety standards and best practices in manufacturing operations.
- Collaborate with quality control teams to develop and implement testing and inspection processes for raw materials, components, and finished products.
- Work to resolve any quality issues and ensure that products meet the required specifications and customer standards.
- Perform root cause analysis for manufacturing defects or quality failures and recommend corrective actions.
- Participate in Lean Manufacturing or Six Sigma initiatives to improve processes and reduce waste (e.g., time, materials, energy).
- Analyze production data and key performance indicators (KPIs) to identify areas for continuous improvement.
- Implement automation solutions and new technologies to improve operational efficiency.
- Maintain detailed records of process changes, equipment specifications, and production reports.
- Provide regular reports on project progress, production metrics, and cost-saving initiatives to management.
- Document technical designs, processes, and testing procedures to ensure compliance with industry regulations and company standards.
- Work closely with other engineering teams (e.g., Design, R&D) to develop new products and transfer them from design to production.
- Collaborate with supply chain and procurement teams to ensure the availability of materials and resources for production.
- Support the development and training of manufacturing personnel on new processes, equipment, and best practices.
Oracle Manufacturing Consultant
Posted today
Job Viewed
Job Description
URGENT REQUIREMENT- FREELANCING OPPORTUNITY
POSITION OVERVIEW : Oracle Manufacturing Consultant
Experience: 8+ years
POSITION GENERAL DUTIES AND TASKS :
-Analyze business processes and identify opportunities for improvement with Oracle SCM solutions.
- Implement and configure Oracle SCM modules to meet business requirements.
-Provide support and maintenance for Oracle SCM applications.
-Conduct testing and validation to ensure systems meet performance expectations.
-Develop and deliver training sessions for users and stakeholders.
-Work collaboratively with cross-functional teams to ensure seamless integration across departments.
-Create detailed documentation of configurations, processes, and user guides.
-Perform regular audits and assessments of the Oracle SCM environments.
Must Have Skill:
Oracle-Peoplesoft Functional SCM-Manufacturing
Oracle Manufacturing Consultant
Posted today
Job Viewed
Job Description
URGENT REQUIREMENT- FREELANCING OPPORTUNITY
POSITION OVERVIEW : Oracle Manufacturing Consultant
Experience: 8+ years
POSITION GENERAL DUTIES AND TASKS :
-Analyze business processes and identify opportunities for improvement with Oracle SCM solutions.
- Implement and configure Oracle SCM modules to meet business requirements.
-Provide support and maintenance for Oracle SCM applications.
-Conduct testing and validation to ensure systems meet performance expectations.
-Develop and deliver training sessions for users and stakeholders.
-Work collaboratively with cross-functional teams to ensure seamless integration across departments.
-Create detailed documentation of configurations, processes, and user guides.
-Perform regular audits and assessments of the Oracle SCM environments.
Must Have Skill:
Oracle-Peoplesoft Functional SCM-Manufacturing
AI Engineer - Manufacturing Analysis Platform
Posted 1 day ago
Job Viewed
Job Description
Company Overview
We are building the next generation of AI-powered manufacturing analysis tools. Our flagship browser-based platform enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis, making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible worldwide through an intuitive drag-and-drop interface.
Role Overview
We are seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You will architect and implement machine learning models that analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with high ownership, technical autonomy, and growth potential.
Key Responsibilities
AI/ML Development
- Design and implement ML models for geometric analysis of injection-molded plastic parts.
- Develop computer vision algorithms for automated feature detection in 3D CAD models.
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis.
- Create real-time inference engines optimized for browser-based deployment (TensorFlow.js/ONNX.js).
- Design data pipelines for continuous model training and improvement.
Platform Architecture
- Architect browser-based AI systems capable of efficiently processing large 3D models.
- Integrate STEP/STL file processing with AI analysis workflows.
- Develop WebAssembly modules for high-performance geometry computation.
- Build scalable model-serving infrastructure for real-time analysis.
- Implement feedback loops to continuously improve model accuracy.
Manufacturing Analysis
- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, and gate placement.
- Build AI-accelerated moldflow simulation capabilities.
- Create cost optimization engines recommending design changes for manufacturability.
- Implement quality prediction models for common injection molding defects.
- Design automated report generation delivering actionable manufacturing insights.
Research & Innovation
- Stay current with AI/ML advances in manufacturing and CAD analysis.
- Experiment with techniques such as neural radiance fields and graph neural networks for 3D data.
- Collaborate with manufacturing experts to validate AI recommendations.
- Publish research and represent the company at industry conferences.
Required Qualifications
Technical Expertise
- 4+ years of AI/ML engineering experience with production deployments.
- Strong proficiency in Python with TensorFlow, PyTorch, or equivalent frameworks.
- Experience with 3D geometry processing (Open3D, PCL, etc.).
- JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js).
- Computer vision and geometric deep learning experience.
- Knowledge of CAD file formats (STEP, STL, OBJ) and 3D mesh processing.
- Experience in fine-tuning ML models.
Software Engineering
- WebAssembly development for high-performance browser applications.
- Cloud platform experience (AWS, GCP, Azure) for model training and deployment.
- Database design for large geometric datasets.
- Strong version control and CI/CD practices.
Mathematical Foundation
- Linear algebra, calculus, statistics, and probability.
- Computational geometry and mesh processing algorithms.
- Optimization techniques for design parameter tuning.
Preferred Qualifications
Domain Knowledge
- Manufacturing engineering background, preferably injection molding.
- CAD software experience (SolidWorks, Fusion 360, etc.).
- Finite element analysis (FEA) or computational fluid dynamics (CFD).
- Materials science knowledge for plastics.
Advanced Technical Skills
- Graph neural networks for CAD geometry representation.
- Reinforcement learning for design optimization.
- Physics-informed neural networks for manufacturing simulation.
- Edge computing and model compression techniques.
- Real-time rendering with WebGL/Three.js.
Education & Experience
- Bachelor’s or Master’s in Computer Science, Engineering, or related field.
- 2+ years in manufacturing technology or CAD software companies.
- Experience at high-growth startups building production-ready technical products.
- Open source contributions in AI/ML or manufacturing tools a plus.
AI Engineer - Manufacturing Analysis Platform
Posted today
Job Viewed
Job Description
Company Overview
We are building the next generation of AI-powered manufacturing analysis tools. Our flagship browser-based platform enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis, making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible worldwide through an intuitive drag-and-drop interface.
Role Overview
We are seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You will architect and implement machine learning models that analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with high ownership, technical autonomy, and growth potential.
Key Responsibilities
AI/ML Development
- Design and implement ML models for geometric analysis of injection-molded plastic parts.
- Develop computer vision algorithms for automated feature detection in 3D CAD models.
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis.
- Create real-time inference engines optimized for browser-based deployment (TensorFlow.js/ONNX.js).
- Design data pipelines for continuous model training and improvement.
Platform Architecture
- Architect browser-based AI systems capable of efficiently processing large 3D models.
- Integrate STEP/STL file processing with AI analysis workflows.
- Develop WebAssembly modules for high-performance geometry computation.
- Build scalable model-serving infrastructure for real-time analysis.
- Implement feedback loops to continuously improve model accuracy.
Manufacturing Analysis
- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, and gate placement.
- Build AI-accelerated moldflow simulation capabilities.
- Create cost optimization engines recommending design changes for manufacturability.
- Implement quality prediction models for common injection molding defects.
- Design automated report generation delivering actionable manufacturing insights.
Research & Innovation
- Stay current with AI/ML advances in manufacturing and CAD analysis.
- Experiment with techniques such as neural radiance fields and graph neural networks for 3D data.
- Collaborate with manufacturing experts to validate AI recommendations.
- Publish research and represent the company at industry conferences.
Required Qualifications
Technical Expertise
- 4+ years of AI/ML engineering experience with production deployments.
- Strong proficiency in Python with TensorFlow, PyTorch, or equivalent frameworks.
- Experience with 3D geometry processing (Open3D, PCL, etc.).
- JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js).
- Computer vision and geometric deep learning experience.
- Knowledge of CAD file formats (STEP, STL, OBJ) and 3D mesh processing.
- Experience in fine-tuning ML models.
Software Engineering
- WebAssembly development for high-performance browser applications.
- Cloud platform experience (AWS, GCP, Azure) for model training and deployment.
- Database design for large geometric datasets.
- Strong version control and CI/CD practices.
Mathematical Foundation
- Linear algebra, calculus, statistics, and probability.
- Computational geometry and mesh processing algorithms.
- Optimization techniques for design parameter tuning.
Preferred Qualifications
Domain Knowledge
- Manufacturing engineering background, preferably injection molding.
- CAD software experience (SolidWorks, Fusion 360, etc.).
- Finite element analysis (FEA) or computational fluid dynamics (CFD).
- Materials science knowledge for plastics.
Advanced Technical Skills
- Graph neural networks for CAD geometry representation.
- Reinforcement learning for design optimization.
- Physics-informed neural networks for manufacturing simulation.
- Edge computing and model compression techniques.
- Real-time rendering with WebGL/Three.js.
Education & Experience
- Bachelor’s or Master’s in Computer Science, Engineering, or related field.
- 2+ years in manufacturing technology or CAD software companies.
- Experience at high-growth startups building production-ready technical products.
- Open source contributions in AI/ML or manufacturing tools a plus.
Senior Manager - Quality Control
Posted today
Job Viewed
Job Description
Responsibilities
- Lead and manage the Quality Control team, ensuring effective allocation of responsibilities, mentoring, and performance monitoring.
- Establish, implement, and continually improve QC systems aligned with ISO 9001:2015 and other relevant quality standards.
- Oversee inspection, testing, and certification processes across all production stages to ensure full compliance with internal and international customer requirements.
- Drive continuous improvement initiatives in quality systems, measurement techniques, and reporting.
- Ensure accuracy, completeness, and long-term traceability of all quality records and documentation.
- Liaise with internal departments, customers, and external auditors to demonstrate compliance and manage audits effectively.
- Implement advanced quality tools, data analysis, and root-cause investigation methodologies to prevent recurrence of non-conformances.
Qualifications
- Graduate degree in Engineering, Materials Science, or related discipline (postgraduate preferred).
- Minimum 10 years of progressive experience in Quality Control / Quality Assurance, with at least 5 years in a leadership role heading a team.
- Strong familiarity with ISO 9001:2015 standards and audit processes.
- Demonstrated expertise in developing, maintaining, and auditing comprehensive quality documentation systems.
- Proven ability to manage high-complexity projects with demanding compliance and international customer standards.
- Excellent written and verbal communication skills, with a strong focus on accuracy, clarity, and documentation discipline.
Required Skills
- Strong leadership and team-building skills.
- Meticulous attention to detail with the ability to manage large volumes of documentation.
- High integrity, professionalism, and commitment to compliance.
- Analytical problem-solving with focus on preventive action.
- Ability to interface confidently with auditors, international customers, and senior management.
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Manufacturing Head - Gujarat For a Plastic Polymer Plant.
Posted today
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Job Description
Role: The Head of Manufacturing will lead all manufacturing operations for PVC and uPVC products, ensuring consistent product quality, efficient production, and adherence to safety and compliance standards. This role demands deep technical and operational expertise in polymer extrusion, moulding, and processing, along with strong leadership to drive cost efficiency, technological advancement, and sustainable practices.
Age: about 45 years
Qualifications & Experience
- Bachelors degree in Mechanical, Chemical, or Polymer Engineering (Masters preferred), with a Masters in Business Management, shall be appreciated.
- 15 - 20 years of experience in polymer/plastics manufacturing, with proven expertise in PVC/uPVC extrusion and compounding.
- Strong understanding of additives, stabilisers, and fillers used in PVC/uPVC formulations.
- Proven track record in managing high-volume plants and workforce teams.
- Proficiency in Lean Manufacturing, Six Sigma, and TPM.
- ERP knowledge (SAP/Oracle) and familiarity with digital plant monitoring systems.
Skills & Competencies
- Strong technical knowledge of PVC/uPVC processing (extrusion, calendaring, lamination).
- Strategic vision with operational execution ability.
- Strong leadership and team development capabilities.
- Excellent problem-solving and cost-control skills.
- Effective communication with cross-functional and external stakeholders.
Key Deliverables (Performance Outcomes)
- Achieve production targets for PVC/uPVC products within defined cost and time.
- Maintain rejection/rework rates below 23%.
- Improve production efficiency and reduce energy cost per ton annually.
- Ensure 100% compliance with quality certifications and safety standards.
- Implement digital monitoring for real-time plant performance.
- Build a skilled workforce capable of supporting advanced extrusion technologies.
KRA:
Strategic Leadership
Define and implement a manufacturing strategy aligned with the growth of PVC/uPVC product portfolio.
Set annual production, efficiency, and quality benchmarks.
Build leadership capability within the plant teams.
Drive operational culture of discipline, accountability, and performance.
Build strong inter-functional team relationships with
shared goals and an integrated corporate vision.
Operational Management
Oversee daily operations of extrusion, lamination, calendaring, and finishing lines.
Develop and monitor production schedules based on sales forecasts.
Ensure maximum capacity utilization across all PVC/uPVC plants.
Lead maintenance teams for preventive and predictive equipment care.
Resolve operational bottlenecks to ensure uninterrupted
production
Quality & Compliance
Implement and monitor robust Quality Management
Systems for PVC/uPVC production
Ensure compliance with BIS, ASTM, ISO, and other polymer-related certifications.
Conduct material testing (impact, tensile, UV resistance, fire rating).
Monitor rejection/rework rates and implement corrective actions.
Ensure strict compliance with health, safety, and
environmental laws
Financial & Cost Control
Prepare and manage annual manufacturing budgets.
Monitor cost-per-ton and cost-per-meter metrics.
Optimize raw material usage (PVC resin, stabilizers, additives, calcium carbonate, fillers).
Approve machinery CAPEX for new extrusion lines and automation.
Drive scrap reduction and raw material yield improvement
Innovation & Technology
Introduce automation in extrusion and packaging lines.
Drive adoption of digital dashboards, IoT-based monitoring, and ERP integration.
Collaborate with R&D for new formulations, surface finishes, and profiles.
Benchmark and implement global best practices in polymer manufacturing.
Explore energy-efficient extrusion technology.
Sustainability & ESG
Implement eco-friendly compounding and production processes.
Promote recycling of PVC/uPVC waste and scrap recovery.
Reduce carbon footprint through optimized energy consumption.
Ensure compliance with global environmental norms
(RoHS, REACH, VOC emissions
Workforce Development
Train plant teams on extrusion technology, process safety, and advanced maintenance.
Foster a safe workplace culture with zero accident targets.
Build succession planning for key technical and supervisory roles.
Drive skill development for operators and engineers on new technologies.
Stakeholder Management
Liaise with regulatory authorities for manufacturing licenses and safety approvals.
Coordinate with supply chain for raw material procurement and finished goods dispatch.
Maintain strong vendor relationships for machinery and additives.
Represent manufacturing in management and board-
level meetings.
Contact Person:
Shaikh Aasma