13 Machine Vision Jobs

You will be responsible for the design, development, and optimization of Automated Optical Inspection (AOI) systems specifically for the 3C industries. Your role will involve leading the development of the machine vision part of advanced AOI systems, encompassing both hardware and software components. It will also require you to develop detailed project plans and ensure the timely product launch according to the set plan. As part of your responsibilities, you will provide technical guidance to a team of engineers on aspects such as image processing, pattern recognition, and machine learning algorithms utilized in AOI applications. Collaboration with hardware suppliers will be crucial to ensure the optimal integration of optical components like cameras, lenses, and lighting systems. Your tasks will include writing and optimizing codes for DL/ML-based AOI system software to ensure real-time performance and accuracy. Identifying potential risks and challenges in projects, developing mitigation strategies, and ensuring successful deliverable completion will be essential. Additionally, you will be involved in developing user interfaces and tools for configuring, controlling, and monitoring AOI systems. You will evaluate new technologies, build prototypes, and PoC systems to enhance product capabilities. Collaborating with the senior leadership team to establish and execute product launch strategy aligned with the organization's goals will be part of your role. Furthermore, you will be responsible for product validations, change management, manufacturing feasibility studies, and product cost optimization. Close collaboration with cross-functional teams, including Mechanical engineers, Control system Engineers, Software developers, quality assurance, manufacturing, and customer support, will be necessary to ensure the seamless integration of AOI systems. Stakeholder management with all stakeholders, such as product developers, Sales & marketing team, Technology partners, suppliers, and customers, will also be a key aspect of your job. An added advantage would be your experience in building AOI machines for the Consumer electronics industry. Your ability to interpret technical drawings, specifications, and inspection criteria accurately will further contribute to your success in this role.,

You are an experienced professional with over 13 years of total experience, specializing in machine learning. You have a proven track record of delivering impactful solutions in Natural Language Processing (NLP), machine vision, and Artificial Intelligence (AI). Your proficiency includes programming languages like Python or R, as well as experience with data manipulation libraries such as Pandas and NumPy. You possess a strong understanding of statistical concepts and techniques, applying them effectively to real-world problems. Your expertise extends to deep learning frameworks like TensorFlow, PyTorch, or JAX, along with machine learning libraries like scikit-learn. You have proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), applying them to real-world scenarios. Additionally, you have exposure to graph-based models, knowledge graphs, and related query languages. In your role, you demonstrate hands-on skills in data engineering and building robust ML pipelines. You are experienced in working with personalization engines and integrating digital marketing platforms. Your responsibilities include architecting scalable, cloud-based AI/ML solutions on platforms like AWS, Azure, or GCP, integrating data pipelines and AI services. You possess excellent communication skills and collaborate effectively with cross-functional teams. Your daily tasks involve writing and reviewing high-quality code, understanding clients" business use cases and technical requirements, and translating them into elegant technical designs. You are adept at identifying different solutions and selecting the best option that aligns with clients" needs. Defining guidelines and benchmarks for non-functional requirements (NFRs) during project implementation is also part of your responsibilities. Moreover, you write and review design documents, explaining the overall architecture, framework, and high-level design of applications for developers. You review architecture and design aspects like extensibility, scalability, security, design patterns, user experience, and NFRs, ensuring adherence to best practices. You develop the overall solution for defined functional and non-functional requirements, defining technologies, patterns, and frameworks to bring it to fruition. Your qualifications include a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,

As a Project Manager specializing in industrial automation projects, you will be responsible for planning, coordinating, and overseeing the successful execution of automation solutions from inception to completion. Your role will involve working closely with stakeholders, managing resources, mitigating risks, ensuring quality standards, and driving continuous improvement within the project management framework. Your key responsibilities will include: Project Planning: Develop detailed project plans outlining scope, objectives, timelines, resource requirements, and budget allocations to ensure project success. Stakeholder Management: Cultivate strong relationships with clients, internal teams, suppliers, and contractors to align on project goals and deliverables. Risk Management: Identify potential risks, develop mitigation strategies, and proactively address issues throughout the project lifecycle to minimize disruptions. Resource Allocation: Efficiently coordinate resources to meet project milestones within budget constraints, monitoring utilization and making necessary adjustments. Budget Management: Track project expenses, adhere to financial constraints, and provide regular updates on the financial status to stakeholders. Quality Assurance: Implement processes to ensure automation solutions meet specified standards, conduct inspections, and tests to verify functionality and performance. Communication: Facilitate clear and timely communication among project team members and stakeholders, providing progress reports, updates, and addressing concerns promptly. Change Management: Manage changes to project scope, schedule, and budget effectively, ensuring all stakeholders are informed and aligned with modifications. Documentation: Maintain accurate project documentation including plans, schedules, status reports, meeting minutes, and relevant records for future reference. Continuous Improvement: Identify areas for process optimization within the project management framework, implement best practices, and apply lessons learned from previous projects. Requirements for this role include: - Bachelor's degree in Engineering, preferably in EEE / E&I / ECE or related field. Master's degree is a plus. - Extensive experience (10+ years) in managing industrial automation projects end-to-end. - Proficiency in automation technologies such as PLCs, SCADA systems, robotics, and machine vision. - Strong project management skills with the ability to plan, organize, and prioritize tasks effectively. - Excellent communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. - Familiarity with project management tools like Microsoft Project, JIRA, or similar software. - Knowledge of industry standards and regulations pertaining to industrial automation. - PMP certification or equivalent is preferred but not mandatory. - Strong problem-solving abilities and the capacity to make informed decisions under pressure to meet deadlines effectively. If you possess the required qualifications and experience, along with a passion for driving successful automation projects, we invite you to apply for this challenging and rewarding opportunity based in Chennai, Tamil Nadu, India.,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

Role Description This is a full-time on-site role for a Computer Vision Engineer/ML Engineer As a team member, you will develop and implement computer vision and machine learning solutions. Your day-to-day tasks will include designing and training models, conducting experiments, analyzing data, and optimizing algorithms. You will collaborate with cross-functional teams to deliver high-quality solutions that meet our clients' business needs. Experience and Responsibilities 1. Expertise with hardware components commonly used in machine vision systems, including cameras, lenses, lighting, and frame grabbers. 2. Deep understanding of computer vision principles, best practices, image processing techniques, and machine learning algorithms. 3. Experience in developing and implementing machine vision systems, preferably in the Railroad, Airport, Heavy engineering, and Utilities business domains. 4. Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch). 5. Strong analytical and problem-solving skills, with the ability to translate complex requirements into practical solutions. 6. Excellent communication and teamwork abilities, with the capacity to collaborate effectively across multidisciplinary teams. 7. Experience deploying AI and deep learning algorithms to production is a plus. 8. Experience with regulatory requirements and standards for medical devices is a plus. 9. Attention to detail and a commitment to producing high-quality work. 10. Ability to work in a dynamic environment and find creative solutions for technology development roadblocks. 11. Ability to work both individually and collaboratively in teams to achieve project goals. 12. Strong communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences. 13. Good problem-solving and analytical skills 14. Excellent communication and teamwork abilities

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America. Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment Have you led a team taking a computer vision problem from invention to product KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI-enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in Chennai, India engaged in the following activities: - Collaborate with KLA's AI and HPC centers of excellence - Further product roadmaps through applied R&D - Drive innovation through hackathons and engineering conferences - Further KLA's technical IP portfolio through generating patent filings Minimum Qualifications: - Doctorate (Academic) Degree and 0 years related work experience - Master's Level Degree and related work experience of 3 years - Bachelor's Level Degree and related work experience of 5 years We offer a competitive, family-friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.,

You will be the Lead Robotics Engineer responsible for spearheading our robotics and automation projects, overseeing the development of cutting-edge robotic systems from inception to implementation. Your primary role will involve leading diverse teams and establishing close partnerships with our EMS and manufacturing collaborators worldwide. Your focus will be on hands-on leadership, emphasizing robotics design, embedded systems, ROS, machine vision, and new product introduction (NPI) while maintaining a robust EMS interface. Your key responsibilities will include: - Designing and integrating collaborative robots, AMRs, and industrial robotic arms for automation purposes. - Developing control systems, motion planning, and real-time path planning by utilizing ROS/ROS2. - Driving firmware development through embedded C/C++ on STM32/PIC platforms. - Incorporating machine vision systems employing OpenCV/TensorFlow for defect detection and automation enhancements. - Leading NPI and lifecycle management throughout EVT to MP stages, ensuring DFM/DFA/DFT compliance. - Overseeing EMS partners for sourcing, BOM validation, and quality assurance procedures. - Supervising manufacturing test setup, jig design, and automation for end-of-life (EOL) testing. - Mentoring and guiding a diverse engineering team using agile methodologies. - Collaborating with international EMS vendors, including those located in China, Taiwan, and Eastern Europe.,

As a Lead Robotics Engineer at our company, you will be responsible for spearheading our robotics and automation projects, overseeing the development of cutting-edge robotic systems from inception to implementation. Your role will involve leading diverse teams and working closely with our EMS and manufacturing partners worldwide. Your primary focus will be on robotics design, embedded systems, ROS, machine vision, and new product introduction (NPI), with a particular emphasis on effective collaboration with our EMS partners. Your key responsibilities will include designing and integrating collaborative robots, AMRs, and industrial robotic arms for automation purposes. You will be tasked with developing control systems, motion planning, and real-time path planning utilizing ROS/ROS2. Additionally, you will be involved in firmware development using embedded C/C++ on STM32/PIC platforms and integrating machine vision systems for defect detection and automation using OpenCV/TensorFlow. You will also be accountable for leading the NPI process and managing the product lifecycle from EVT to MP, ensuring compliance with DFM/DFA/DFT standards. Your role will entail overseeing EMS partners for sourcing, BOM validation, and quality assurance checks, as well as managing manufacturing test setup, jig design, and automation for EOL testing. Furthermore, you will be required to lead and mentor a diverse engineering team, employing agile methodologies to foster collaboration and innovation. Collaboration with international EMS vendors, particularly in regions such as China, Taiwan, and Eastern Europe, will also be a key aspect of your role.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. - Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). - Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. - Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. - Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. - Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. - Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. - Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). - Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills: - B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. - 2-5 years of relevant experience in machine vision, automation, or AI-based quality control systems. - Strong problem-solving skills and ability to work independently in R&D or client-facing roles. - Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. - Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. - Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). - Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. - Understanding industrial automation systems, SCADA/PLC integration. - Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. - Familiarity with SCADA, Historian systems, or MES integration. - Exposure to virtualization, server-client architecture, or redundant systems. - Knowledge of video analytics, CCTV integration, and industrial automation security.

Embedded system design and development Required Candidate profile Experience with Pitorch, AI, Machine learning, Machine vision, C/C++ Programming,

This position is responsible for the field sales of Cognexs Vision Solutions. This is a sales role for a defined territory and/or set of end users, partners, and OEM’s. While the primary focus is on vision opportunities, the account manager is responsible for ensuring that the entire sensor portfolio of product is sold vertically in strategic accounts. The employee will work closely with the District Sales Manager to develop account strategies and tactics. The employee will be responsible for exceeding a defined quota at these assigned or newly found accounts and expanding our base of business at these accounts in. In addition, this position will collaborate with other individuals from sales and product marketing, on strategic opportunities where collaboration is needed to win. Embodies and core values of Cognex including Work Hard, Play Hard and Move Fast. Additional tasks will be assigned as needed by the manager. Job Description: Essential Functions: 1. Properly forecast and close vision solutions with End Users, Partners, and OEMs. 2. Effectively demonstrate products to customers. Generate new requirements of Industrial Barcode Readers and Vision Systems in his designated territory 3. Follows up on sales leads and schedules customer visits. 6. Work with the Cognex Channel Partner to ensure they are properly trained on how to position and sell Cognex products. Evangelize Cognex products to increase mindshare and selling time at the Partner. 7. Create the plan and execution of the plan for sensors and vision at Most Wanted Accounts. 8. Utilize the 6 bullets sales process for winning large strategic opportunities. 9. Conduct product and solution demonstrations at customer sites. 10. Collaborate with counterparts from other territories on opportunities that are either integrated our installed in a different territory or where the decision makers don’t reside in the Account Manager’s territory. 11. Follow up on customer inquiries, understand system requirements, and differentiate the Cognex solution. Provide the most techno-commercially suitable quotations to the customers and negotiate commercially to close orders. 12. Assists at trade shows and other marketing events. 13. Coordinate evaluations utilizing the Applications Engineering team. 14. Maintain and continuously update project information in Salesforce. Knowledge, Skills, and Abilities: 1. Proven track record of sales performance in the automation industry. 2. Proven track record of operating in a solutions sales environment. 3. Uses defined sales process to deliver desired results on a consistent basis 4. PC literate with a working knowledge of MS Windows applications 5. Ability to work independently is required Minimum education and work experience required: 1. Technical Degree/Diploma or equivalent work experience 2. Proven sales and/or application engineering experience and a good track record for exceeding sales targets is required 3. Experience in selling technical products to production managers and engineers is also required

Role & responsibilities Coordinates resource and sets daily priorities to meet operational objectives. Apply operational business practices and coordinate with other closely related areas to improve efficiency. Guided by policies and procedures. Provides application feasibilities and fast tracks as necessary. Help team conduct successful demonstrations and online trials of products at customer sites, trade shows, seminars, and events. And include self if required. Successful launch coordination for NPI along with Sales, BU and Engineering. Help team troubleshoots issues at customers and provides resolutions to problems. Set and maintain the process to Complete evaluation reports in a timely and complete manner while recommending a solution that fits within the constraints of the application. Coach the team to sustain the quality of the process. Provides expertise in the integration of Cognex products with devices such as PLCs, PCs, or Controllers. Develops a broad technical knowledge of Cognexs vision and sensor product families for the self and team. Provides customer and sales engineer training when required. Proactive product feedback to AE Manager and Product Business Units to improve products. Add sales intelligence to sales when communicating with or visiting customers to help Cognex win. Maintain and continuously update [self and team] project information in service cloud. Preferred candidate profile Team Player and Creative. Nimble and self-learner. Efficient way to manage people and get planned things done Connecting people with empathy and can be inspired with vision Engineering leadership experience will be an add Excellent written and spoken English. Spoken Hindi is an added advantage Strong knowledge in MS Office / MS Windows / Computer Networking Willing to travel across India or abroad as per business requirements for short / long stay. Cross functional working ability to reach business goals. Machine Vision and FA:Selection of camera, optics and lightings. PC vision algorithms, Smart product configuring and integration. PLC programming, HMI programming. Communication protocols. Minimum education and work experience required: Minimum 12 years of experience in Factory Automation products. With at least 5 years of experience in Machin Vision selection, installation and commissioning. Bachelor of Engineering degree in electrical / Electronics / Instrumentation / Communication with 75% average 75% or equivalent with no backlogs. Masters degree in computer science / Instrumentation / Electronics / Communication with no backlogs. Programming knowledge in C# / .Net / Java is added advantage. Machine Vision / Robotics / AI / Deep Learning knowledge is a must. It should be comfortable working in a factory environment. Experience in Salesforce, Power-BI will be added advantage.