18 Computer jobs in Nashik

AI Engineer - Manufacturing Analysis Platform

Company Overview

We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.

Role Overview

We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can 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 significant ownership 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 using TensorFlow.js/ONNX.js
• Design data pipelines for continuous model training and improvement

Platform Architecture

• Architect browser-based AI systems that can process large 3D models efficiently
• Integrate STEP/STL file processing with AI analysis workflows
• Develop WebAssembly modules for high-performance geometry computation
• Build scalable model serving infrastructure supporting real-time analysis
• Implement feedback loops to continuously improve model accuracy

Manufacturing Analysis

• Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
• Build moldflow simulation capabilities using AI-accelerated CFD techniques
• Create cost optimization engines that recommend design changes for manufacturability
• Implement quality prediction models for common injection molding defects
• Design automated report generation with actionable manufacturing insights

Research & Innovation

• Stay current with AI/ML advances in manufacturing and CAD analysis
• Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
• Collaborate with manufacturing experts to validate and improve 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 similar ML frameworks
• Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
• JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
• Computer vision and geometric deep learning experience
• Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
• Experience with 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 handling large geometric datasets
• Version control and CI/CD best practices

Mathematical Foundation

• Strong linear algebra and calculus background
• Statistics and probability for uncertainty quantification
• Computational geometry and mesh processing algorithms
• Optimization techniques for design parameter tuning

Preferred Qualifications

Domain Knowledge

• Manufacturing engineering background in injection molding or similar processes
• CAD software experience (SolidWorks, Fusion 360, etc.)
• Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
• Materials science knowledge for plastic properties and behavior

Advanced Technical Skills

• Graph neural networks for representing CAD geometry
• 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

• Bachelors or Masters in Computer Science, Engineering, or related field
• 2+ years in manufacturing technology or CAD software companies
• Experience at high-growth startups building technical products from scratch for production
• Open source contributions in AI/ML or manufacturing tools

AI Engineer - Manufacturing Analysis Platform

Company Overview

We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.

Role Overview

We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can 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 significant ownership 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 using TensorFlow.js/ONNX.js
• Design data pipelines for continuous model training and improvement

Platform Architecture

• Architect browser-based AI systems that can process large 3D models efficiently
• Integrate STEP/STL file processing with AI analysis workflows
• Develop WebAssembly modules for high-performance geometry computation
• Build scalable model serving infrastructure supporting real-time analysis
• Implement feedback loops to continuously improve model accuracy

Manufacturing Analysis

• Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
• Build moldflow simulation capabilities using AI-accelerated CFD techniques
• Create cost optimization engines that recommend design changes for manufacturability
• Implement quality prediction models for common injection molding defects
• Design automated report generation with actionable manufacturing insights

Research & Innovation

• Stay current with AI/ML advances in manufacturing and CAD analysis
• Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
• Collaborate with manufacturing experts to validate and improve 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 similar ML frameworks
• Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
• JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
• Computer vision and geometric deep learning experience
• Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
• Experience with 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 handling large geometric datasets
• Version control and CI/CD best practices

Mathematical Foundation

• Strong linear algebra and calculus background
• Statistics and probability for uncertainty quantification
• Computational geometry and mesh processing algorithms
• Optimization techniques for design parameter tuning

Preferred Qualifications

Domain Knowledge

• Manufacturing engineering background in injection molding or similar processes
• CAD software experience (SolidWorks, Fusion 360, etc.)
• Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
• Materials science knowledge for plastic properties and behavior

Advanced Technical Skills

• Graph neural networks for representing CAD geometry
• 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

• Bachelors or Masters in Computer Science, Engineering, or related field
• 2+ years in manufacturing technology or CAD software companies
• Experience at high-growth startups building technical products from scratch for production
• Open source contributions in AI/ML or manufacturing tools

Hiring For USA based Multinational Company

We are looking for a skilled and innovative Computer Vision Engineer to join our team. You will be responsible for designing, developing, and deploying computer vision models and algorithms that enable machines to interpret and understand visual information. Your work will help solve real-world problems in areas such as object detection, image classification, tracking, 3D reconstruction, facial recognition, and more.

• Design and implement computer vision algorithms for tasks such as object detection, segmentation, image recognition, tracking, OCR, etc.
• Optimize and scale models for performance and real-time processing.
• Collect and annotate datasets as needed for training computer vision models.
• Train and fine-tune models using deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
• Evaluate model performance using appropriate metrics and improve models through experimentation.
• Integrate vision models into production systems (cloud-based, edge devices, or mobile platforms).
• Collaborate with software, hardware, and data engineering teams to deploy scalable solutions.
• Optimize inference performance for deployment on limited-resource environments (e.g., mobile, embedded systems).
• Stay up to date with the latest advancements in computer vision and deep learning.
• Research and experiment with state-of-the-art methods (e.g., transformer-based models, self-supervised learning, multi-modal systems).
• Contribute to innovation and IP creation, including white papers and patents.
• Work cross-functionally with product managers, engineers, and data scientists to translate business requirements into technical solutions.
• Present findings, prototypes, and performance reports to both technical and non-technical stakeholders.

Company Description

Magnum Engineering (IN) specializes in manufacturing top-quality electrical panels designed to protect electrical equipment and ensure smooth functionality. Our facility utilizes high-grade materials and advanced technology, and our skilled technicians meticulously craft each panel to meet client-specific requirements. We also provide custom electrical panel solutions, working closely with clients to fulfill their unique needs. Our unwavering commitment to quality and customer satisfaction ensures that our products will exceed your expectations.

Role Description

This is a full-time, on-site role for a Computer Numerical Control (CNC) Programmer located in Nashik. The CNC Programmer will be responsible for programming, setting up, and operating CNC machines to perform tasks such as drilling, grinding, and milling. They will read and interpret technical drawings and blueprints, ensuring that the machines produce high-quality parts. Daily tasks also include troubleshooting programming issues and maintaining equipment to ensure optimal performance.

Qualifications

• Proficiency in CNC Programming and Machining
• Experience with Milling processes
• Ability to read and interpret Technical Drawings
• Strong problem-solving skills and attention to detail
• Excellent technical and mechanical aptitude
• Ability to work independently and as part of a team
• Prior experience in a manufacturing environment is a plus
• Relevant technical certification or diploma

About Plootus

Plootus is a mobile app available for both Apple and Android stores. Based out of Connecticut in the USA, Plootus has developed an easy to use & integrated financial planning tool for retirement, focused especially on the 401(k) market which according to Koski research is the only or largest source for retirement planning for 60% of the people. The tool integrates all expenses, income, and investments of an individual. With minimal inputs, it suggests investment options based on individual risk profiles and estimated retirement needs.

Company website -

Company page -

Plootus provides an opportunity to learn about the US Fintech market. Be part of a team that is solving one of the biggest problems in the financial world. We are looking for a passionate Computer Science / Engineering Intern who wants to learn by doing — working directly with our founding team to enhance our web and mobile applications and contribute to meaningful product development in a fast-moving environment.

Key Responsibilities

• Update and maintain the Plootus app (React / React Native) and website (React.js).
• Integrate and test REST APIs to connect front-end and backend services.
• Use GitLab for version control and collaborate on branching, merging, and pull requests.
• Deploy updates and enhancements to the AWS cloud environment.
• Debug issues, test features, and document fixes.
• Work with the Node.js backend to understand and modify database interactions as needed.

Required Skills & Qualifications

• Proficiency in React / React.js for front-end development.
• Familiarity with RESTful APIs and JSON data structures.
• Experience using GitLab (or similar, e.g., GitHub, Bitbucket) for version control.
• Basic understanding of Node.js and databases (MongoDB or SQL).
• Strong attention to detail and ability to work independently.
• Passion for learning fintech applications and scalable SaaS technologies.

Preferred Skills (Nice to Have)

• Experience deploying to AWS, GCP, or other cloud environments.
• Understanding of CI/CD pipelines.
• Interest in finance, personal budgeting, or investment platforms.

What You’ll Gain

• Hands-on experience with a live fintech SaaS platform.
• Exposure to cloud deployment workflows and agile development practices.
• Mentorship from experienced founders with backgrounds in risk, finance, and technology.
• A strong portfolio project demonstrating real product impact.

Compensation/Stipend: INR 6000 / month

About Plootus

Plootus is a mobile app available for both Apple and Android stores. Based out of Connecticut in the USA, Plootus has developed an easy to use & integrated financial planning tool for retirement, focused especially on the 401(k) market which according to Koski research is the only or largest source for retirement planning for 60% of the people. The tool integrates all expenses, income, and investments of an individual. With minimal inputs, it suggests investment options based on individual risk profiles and estimated retirement needs.

Company website -

Company LinkedIn page -

Plootus provides an opportunity to learn about the US Fintech market. Be part of a team that is solving one of the biggest problems in the financial world. We are looking for a passionate Computer Science / Engineering Intern who wants to learn by doing — working directly with our founding team to enhance our web and mobile applications and contribute to meaningful product development in a fast-moving environment.

Key Responsibilities

• Update and maintain the Plootus app (React / React Native) and website (React.js).
• Integrate and test REST APIs to connect front-end and backend services.
• Use GitLab for version control and collaborate on branching, merging, and pull requests.
• Deploy updates and enhancements to the AWS cloud environment.
• Debug issues, test features, and document fixes.
• Work with the Node.js backend to understand and modify database interactions as needed.

Required Skills & Qualifications

• Proficiency in React / React.js for front-end development.
• Familiarity with RESTful APIs and JSON data structures.
• Experience using GitLab (or similar, e.g., GitHub, Bitbucket) for version control.
• Basic understanding of Node.js and databases (MongoDB or SQL).
• Strong attention to detail and ability to work independently.
• Passion for learning fintech applications and scalable SaaS technologies.

Preferred Skills (Nice to Have)

• Experience deploying to AWS, GCP, or other cloud environments.
• Understanding of CI/CD pipelines.
• Interest in finance, personal budgeting, or investment platforms.

What You’ll Gain

• Hands-on experience with a live fintech SaaS platform.
• Exposure to cloud deployment workflows and agile development practices.
• Mentorship from experienced founders with backgrounds in risk, finance, and technology.
• A strong portfolio project demonstrating real product impact.

Compensation/Stipend: INR 6000 / month

About the job

Joining Period: Immediate

6 Months Contract

Experience: 2-4 Years

Required Skills:

Experience in Computer vision -

Experience in Python -

Experience in TensorFlow or PyTorch –

Knowledge of text detection & OCR, human / face detection, generative models, video analytics, model compression / optimization -

Position Overview:

We are seeking a talented and experienced Computer Vision Engineer with a minimum of 3 years of relevant experience in computer vision, data science, machine learning, or related fields. The ideal candidate will have a strong background in developing and implementing computer vision algorithms and models to solve real-world problems. This role requires expertise in various programming languages, tools, and frameworks commonly used in machine learning and computer vision applications.

Key Responsibilities:

● Develop and implement computer vision algorithms and models for various use cases including but not limited to object detection, image classification, text detection & OCR, face detection, generative models, video analytics, and model compression/optimization.

● Collaborate with cross-functional teams including software engineers, data scientists, and product managers to design and deploy scalable computer vision solutions.

● Research and experiment with cutting-edge techniques and technologies in computer vision to continuously improve the performance and accuracy of our models.

● Optimize and fine-tune existing models for speed, accuracy, and scalability.

● Work with large-scale datasets and utilize distributed training/inference techniques for efficient model training and deployment.

● Stay up to date with the latest advancements in computer vision, machine learning, and related fields, and apply them to solve business challenges.

Minimum Qualifications:

● Bachelor’s degree in computer science, Electrical Engineering, Mathematics, or related field. Master's degree or Ph.D. is preferred.

● 2+ years of relevant experience as a Computer Vision Engineer, Data Scientist, Machine Learning Engineer, or related role.

● Strong proficiency in programming languages such as Python (required)

● Hands-on experience with popular machine learning frameworks such as TensorFlow, PyTorch, and Keras.

● Familiarity with tools and libraries commonly used in computer vision projects such as CUDA, OpenCL, OpenGL, and OpenCV.

● Proven track record of delivering successful computer vision projects with expertise in object detection, image classification, text detection & OCR, face detection, generative models, video analytics, and model compression/optimization.

● Excellent problem-solving skills and the ability to work independently as well as part of a team.

Preferred Qualifications:

● Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or related field.

● Proficiency in PyTorch is preferable.

● Strong understanding of deep learning architectures and techniques.

● Publications or contributions to the computer vision or machine learning community.

In case you would be excited, send us your updated CV with current salary details to