11 Manufacturing jobs in Belgaum

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.

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.

Job Description: Manufacturing Specialist

Work time: EST and PST time zone work hours

Location: India (Anywhere)

Job Summary

This role focuses on driving continuous improvement in factory operations. The Manufacturing Process Improvement Engineer will work with internal and external teams to optimize production processes and enhance operational efficiency.

Key Responsibilities

• Analyze factory flow and identify areas for improvement.
• Implement lean manufacturing and Six Sigma methodologies.
• Collaborate with manufacturing engineering teams to improve performance.
• Support ramp-up and sustaining operations.
• Track and report on key performance indicators (KPIs).

Qualifications

• Bachelor’s degree in Industrial, Mechanical, or Manufacturing Engineering.
• 5–7 years of experience in process improvement or lean manufacturing.
• Six Sigma Green Belt or Black Belt certification preferred.
• Strong problem-solving and data analysis skills.

Job Overview:

Seeking an experienced data professional to lead data integrity initiatives in a manufacturing environment. This role will ensure data accuracy, reliability, and trustworthiness by collaborating with system owners, data engineers, and business stakeholders.

• Analyze and validate data from manufacturing systems (SCADA, PLC, control systems).
• Identify gaps and missing values in structured and semi-structured data.
• Implement data readiness protocols to ensure 'fit-for-purpose' ingestion.
• Develop automation scripts and workflows to streamline data preparation processes.
• Collaborate with data ingestion teams to fix and enrich data before and after ingestion.
• Work with stakeholders to define data requirements for applications.
• Provide technical support for data integrity initiatives across multiple sites.

• 6–10 years of experience as a data analyst/engineer in manufacturing or industrial data environments.
• Strong understanding of SCADA, PLC, and manufacturing control systems data.
• Experience with data lakes and relational database systems.
• Hands-on experience in data authentication, cleansing, validation, and readiness engineering.
• Proficiency in SQL, Python, or equivalent scripting for data processing/automation.
• Familiarity with PI (OSIsoft / Aveva) or other manufacturing data historians trainable by the candidate.
• Strong problem-solving skills for working with ambiguous or incomplete data sets.

The ideal candidate will have excellent communication skills to bridge system data owners and engineering teams.

Unlock the Future of Manufacturing Analysis

AI engineers play a crucial role in transforming manufacturing analysis, democratizing advanced tools to analyze plastic injection molding designs and optimize production processes.

At our organization, we're building the next generation of AI-powered platforms, making sophisticated design for manufacturability (DFM) and moldflow analysis accessible worldwide through intuitive interfaces and user-friendly software.

The AI engineer leads development of our core analysis engine, architecting machine learning models for real-time 3D CAD geometry analysis, predicting manufacturing issues, and providing actionable recommendations to improve efficiency and reduce waste.

Key responsibilities include designing ML models for geometric analysis, developing computer vision algorithms for feature detection, building predictive models for manufacturing cost estimation, and creating real-time inference engines for browser-based deployment.

The ideal candidate has 4+ years of AI/ML engineering experience, strong proficiency in Python with TensorFlow, PyTorch, or similar frameworks, and expertise in JavaScript/TypeScript for browser-based AI deployment.

They should also have experience with 3D geometry processing using libraries like Open3D, PCL, or similar, as well as understanding of CAD file formats and 3D mesh processing.

Requirements:

• 4+ years of AI/ML engineering experience
• Strong proficiency in Python with TensorFlow, PyTorch, or similar frameworks
• Expertise in JavaScript/TypeScript for browser-based AI deployment
• Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
• Understanding of CAD file formats and 3D mesh processing

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.

Hi All,

We are hiring oracle EBS Developers with Manufacturing module Experience.

SKILL

Oracle EBS Developer – MFG/INV/WIP/BOM

MODE OF WORK:- C2H

BUDGET FOR FTE:- 24 (Remote option available)

Duration: - 6+Months

EXPERIENCE: - 7+ YRS (Rel 6+ Years)

LOCATION: - Remote

Note:-No PF Overlapping and Dual Employment

Job Description

Key Responsibilities:

• Design, develop, test, and deploy customizations, extensions, and reports in Oracle EBS R12 (preferably 12.2.x).
• Work closely with Functional Consultants and Business Analysts to understand requirements and translate them into effective technical solutions .
• Develop and maintain PL/SQL procedures, packages, functions, triggers , and interfaces related to MFG/INV/WIP/BOM modules.
• Work on data conversions, API-based integrations, and interface programs with external systems.
• Create and enhance Oracle Forms, Reports (RDF/XML Publisher), Workflows, and OAF pages as required.
• Support production issues, perform root cause analysis , and implement permanent fixes to ensure system stability.
• Participate in code reviews, performance tuning , and adherence to Oracle development standards.
• Collaborate with cross-functional teams to deliver high-quality, scalable, and maintainable solutions.
• Provide technical documentation , support for testing (unit, integration, UAT), and knowledge transfer during project handovers.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related discipline.
• 5–9 years of experience as an Oracle EBS Technical Developer .
• Strong working experience in EBS Manufacturing modules – WIP, BOM, INV, MFG, and Costing.
• Expertise in Oracle SQL, PL/SQL, Forms, Reports (RDF/XML Publisher), Workflows, and OAF .
• Proficient in developing and supporting interfaces (Inbound/Outbound) using APIs and open interfaces.
• Experience with custom extensions, personalization, and performance optimization in Oracle EBS.
• Hands-on knowledge of EBS R12 (12.1.x / 12.2.x) technical architecture.
• Familiarity with AIM or OUM methodologies and project lifecycle deliverables.
• Strong analytical, problem-solving, and debugging skills.
• Excellent written and verbal communication skills.

Nice to Have:

• Experience in Oracle APEX, BI Publisher, and WebADI integrations.
• Exposure to Order Management (OM), Purchasing (PO), and Costing modules.
• Basic knowledge of Oracle Cloud (Fusion) Manufacturing is a plus.
• Experience working in onsite-offshore model or global delivery teams.