710 Opencv Jobs - Page 18

Job Title: Python Engineer – Vision-Based Projects Experience: 3+ Years Location: Pune Employment Type: Full-time Job Summary: We are looking for a skilled and passionate Python Engineer with hands-on experience in vision-based projects, such as object detection, image classification, and video analytics. The ideal candidate should have a solid understanding of computer vision libraries, machine learning techniques, and real-time data processing. Key Responsibilities: Design, develop, and optimize computer vision algorithms using Python. Work on vision-based applications including object detection, image segmentation, and video analysis. Implement and train deep learning models using frameworks like TensorFlow, PyTorch, or OpenCV. Integrate computer vision solutions into real-time systems or cloud environments. Collaborate with cross-functional teams including data scientists, backend engineers, and product managers. Maintain and improve code quality, testing, and documentation. Stay updated with the latest trends and advancements in vision-based AI/ML solutions. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. Minimum 3 years of experience in Python programming. Strong experience in vision-based libraries: OpenCV, Pillow, scikit-image, computer vision etc. Experience with deep learning frameworks: TensorFlow, Keras, or PyTorch. Proficiency in image and video processing, feature extraction, and real-time inference. Experience with REST APIs and cloud deployment (AWS/GCP) is a plus. Familiarity with Git, Docker, and CI/CD pipelines. Good to Have: Experience with edge devices like NVIDIA Jetson, Raspberry Pi, etc. Knowledge of classical machine learning (SVM, Random Forests, etc.). Understanding of calibration, tracking, and 3D vision techniques. Job Type: Full-time Pay: ₹300,000.00 - ₹900,000.00 per year Benefits: Flexible schedule Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Chakan, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Software deployment: 3 years (Required) Work Location: In person

Senior AI Engineer – Computer Vision & Azure Cloud Location: Gurugram, India Type: Full-Time | Permanent Availability: Immediate Joiner or Short Notice Preferred Experience: 4+ Years in AI, Computer Vision, Azure Cloud | SaaS/AI/AgTech Startups Why You Should Join INNOFarms.AI? At INNOFarms.AI, we’re building the future of sustainable farming using cutting-edge AI, Computer Vision, and IoT. This is your chance to shape the core of a global AgriTech platform that directly impacts food security and climate resilience. 🌍 Make a Global Impact: Drive innovation in smart agriculture across SEA, UAE, and US markets. 🤖 Build at the Edge of Innovation: Work on real-time farm intelligence, predictive insights, and autonomous control systems. 🔗 Work Closely with Leadership: Partner with the CTO and core engineering team on strategic, high-impact initiatives. 🌾 Tech for Good: Develop AI solutions that improve yield, optimize water usage, and support regenerative farming. What You'll Own and Build? 🧠 Computer Vision Systems: Design and deploy advanced object detection, segmentation, and multi-head tracking models. 🔁 Data Pipelines: Build and manage scalable training pipelines from diverse field and sensor datasets. 🤝 Cross-Disciplinary Collaboration: Integrate CV models with robotics, drones, and IoT systems. ☁️ Cloud AI Deployment: Leverage Azure Cloud (IoT Hub, Functions, CosmosDB, Event Hubs) for production-grade model deployment. 🧮 Algorithm Optimization: Apply math and ML theory to continuously improve speed, accuracy, and edge performance. 🧩 Platform Architecture: Co-architect INNOFarms.AI’s Azure-powered smart farming platform. 🔐 Secure AI Systems: Ensure compliance with AI ethics, data privacy, and global security standards. 📊 AI-Driven Decisions: Build real-time control systems that enable autonomous decision-making in farms. 💡 Strategic Collaboration: Work closely with business/product teams to scale AI-led features into global markets. What You Bring to the Table ? 🎓 Bachelor’s or Master’s in Computer Science, AI, or a related field. 🏆 5+ years in AI, SaaS, Cloud, or IoT development. 👁️‍🗨️ 3-5 years of specialized experience in Computer Vision – object detection, tracking, segmentation. 🧰 Proficient in OpenCV, TensorFlow, PyTorch, and modern MLOps workflows. ☁️ Deep experience in Azure Cloud – IoT Hub, Event Hubs, Functions, CosmosDB, Blob, etc. 🔄 Strong experience with image data pipelines and multi-head CV model development. 👨‍💻 Startup mindset – self-starter, agile, and collaborative in fast-paced environments. 🌐 Bonus: Experience with global SaaS product scaling. Nice to Have (But Awesome if You Do) 🌿 Background in AgriTech, Smart Automation, or IoT-heavy ecosystems. 🛡️ Knowledge of global data compliance, cybersecurity, and AI governance best practices. 🧑‍🏫 Experience mentoring junior engineers or leading small teams. Ready to Grow the Future of Food? Join us in building a scalable, intelligent agriculture platform from the ground up. At INNOFarms.AI, your work won’t just be code – it will be a catalyst for sustainable innovation across continents. 👉 Apply now and be a force behind the AgriTech revolution. Show more Show less

Role – Deep Learning Engineer & Data Scientist Job Description Location - PAN India Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Job description About Reboot Robotics Academy: Reboot Robotics Academy is dedicated to empowering students with future-ready skills in Robotics, AI, IoT, and Coding . We are seeking a AI & IoT Trainer to join our team and inspire the next generation of tech innovators! Key Responsibilities: Conduct hands-on training on AI, Machine Learning, and IoT . Teach fundamental to advanced Python concepts, including data structures, OOP, and automation. Chatbot designing Guide students through real-world AI projects using TensorFlow, OpenCV, and NLP. Introduce concepts of Deep Learning, Neural Networks, and AI Ethics . Provide training on IoT-based applications using ESP32, Arduino, and Raspberry Pi (preferred). Deliver Drone programming & Robotics workshops (if experienced). Assist in curriculum development , lesson planning, and creating study materials. Provide mentorship and guidance to students for projects and competitions. Stay updated with the latest trends in AI, ML, IoT, and automation technologies . Required Skills & Qualifications: Strong proficiency in Python (OOP, NumPy, Pandas, Matplotlib). Hands-on experience with AI/ML frameworks (TensorFlow, Keras, Scikit-learn). Knowledge of Deep Learning, NLP, and Computer Vision is a plus. Familiarity with IoT, Arduino, ESP32, Raspberry Pi , and sensor-based automation is preferred. Experience with drone programming is an added advantage. Prior experience in teaching, training, or mentoring is preferred. Excellent communication & presentation skills . Passion for education, technology, and innovation . Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, AI, Data Science, IoT, or a related field. Experience in STEM, Robotics & IoT education is an advantage. Certifications in AI/ML, IoT, or Drone Technology are a plus. Why Join Us? Work with a leading EdTech academy shaping the future of AI, IoT & Robotics. Opportunity to mentor young minds in cutting-edge technology. Engage in innovation-driven projects & research opportunities . Growth opportunities in AI, IoT, and drone automation training . Job Types: Full-time, Fresher Pay: ₹8,000.00 - ₹20,000.00 per month Benefits: Leave encashment Paid sick time Schedule: Day shift Fixed shift Weekend availability Supplemental Pay: Yearly bonus Language: English (Required) Work Location: In person Show more Show less

Key Responsibilities: Design and implement embedded software for video processing, motion detection, and network communication. Develop firmware for microcontrollers, SoCs, and DSPs used in CCTV cameras. Optimize code for performance, memory usage, and power efficiency. Integrate image sensors and modules (e.g., night vision, PTZ). Interface with peripherals (e.g., UART, SPI, I2C, Ethernet, USB). Support video encoding/decoding using H.264/H.265 and ONVIF standards. Collaborate with hardware engineers on board bring-up and debugging. Participate in system architecture design and component selection. Conduct unit testing, integration testing, and firmware validation. Maintain documentation of code and design for future development. Required Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. 3+ years of experience in embedded software development. Strong proficiency in C/C++ and RTOS environments. Experience with ARM Cortex, MIPS, or RISC-V architecture. Familiarity with camera modules, ISP tuning, and image processing. Knowledge of networking protocols (TCP/IP, UDP, HTTP, RTSP). Experience with version control systems (e.g., Git). Debugging tools experience: JTAG, oscilloscopes, logic analyzers. Preferred Skills: Experience with Linux kernel and driver development. Familiarity with OpenCV, GStreamer, or similar video processing libraries. Understanding of cybersecurity principles for IoT devices. Background in machine vision or AI-based video analytics. Job Types: Full-time, Contractual / Temporary, Freelance Contract length: 3 months Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Work Location: In person

Key Responsibilities:  Develop and implement algorithms for Image Processing, Signal Processing, and Antenna Design.  Guide and mentor students and researchers on project development related to ECE.  Design and simulate antennas using tools like HFSS, CST, or MATLAB.  Work on signal and image processing projects using MATLAB, Python, OpenCV, and other relevant software.  Conduct research and provide solutions for academic project requirements in areas like radar signal processing, biomedical image analysis, wireless communication, and machine learning applications.  Document project work, develop reports, and assist in publishing research papers.  Stay updated with the latest trends and advancements in ECE-related fields. Required Skills and Qualifications:  Bachelor’s/Master’s/Ph.D. in Electronics and Communication Engineering (ECE) or a related field.  Strong knowledge of Image Processing, Signal Processing, and Antenna Design.  Proficiency in MATLAB, Python, OpenCV, HFSS, CST, ADS, or other relevant tools.  Experience in working with research-based projects and publications is a plus.  Excellent problem-solving, analytical, and communication skills.  Ability to work independently and collaborate with students and research scholars. Preferred Qualifications:  Experience in AI/ML applications in Image and Signal Processing.  Hands-on experience with software-defined radios (SDR) and RF circuit design.  Knowledge of FPGA-based implementation of signal processing algorithms Job Type: Full-time Pay: ₹13,000.00 - ₹15,000.00 per month Schedule: Day shift Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

Key Responsibilities:  Develop and implement algorithms for Image Processing, Signal Processing, and Antenna Design.  Guide and mentor students and researchers on project development related to ECE.  Design and simulate antennas using tools like HFSS, CST, or MATLAB.  Work on signal and image processing projects using MATLAB, Python, OpenCV, and other relevant software.  Conduct research and provide solutions for academic project requirements in areas like radar signal processing, biomedical image analysis, wireless communication, and machine learning applications.  Document project work, develop reports, and assist in publishing research papers.  Stay updated with the latest trends and advancements in ECE-related fields. Required Skills and Qualifications:  Bachelor’s/Master’s/Ph.D. in Electronics and Communication Engineering (ECE) or a related field.  Strong knowledge of Image Processing, Signal Processing, and Antenna Design.  Proficiency in MATLAB, Python, OpenCV, HFSS, CST, ADS, or other relevant tools.  Experience in working with research-based projects and publications is a plus.  Excellent problem-solving, analytical, and communication skills.  Ability to work independently and collaborate with students and research scholars. Preferred Qualifications:  Experience in AI/ML applications in Image and Signal Processing.  Hands-on experience with software-defined radios (SDR) and RF circuit design.  Knowledge of FPGA-based implementation of signal processing algorithms Job Types: Full-time, Permanent, Fresher Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Provident Fund Schedule: Day shift Fixed shift Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

We at Indzone Tech Pvt. Ltd. are developing an innovative AI-based solution that merges machine learning, computer vision, and IoT hardware for real-world use cases. We’re looking for passionate, reliable, and curious minds to join us in this confidential R&D project. 🔧 Roles & Responsibilities: Support AI/ML model training using image datasets (YOLO preferred). Assist in connecting real-time sensors (weight, camera) with edge devices (like Jetson Nano/RasberryPi). Write and test Python scripts for automation and sensor data collection. Collaborate with cross-functional teams for system integration. 🧠 Desired Candidate Profile: Python programming . Eagerness to learn AI/ML and hardware-software integration. Bonus if familiar with: OpenCV, YOLO, Jetson Nano, sensors. Must be a self-starter with ownership mindset. 💼 Internship Details: Type: Full-time (3–6 months) Compensation: ₹30,000/month Location: Mumbai Tools Provided: Mentorship, starter code modules, documentation 🤝 Why Join Us? Work on a real AI+Hardware R&D product Learn with guidance – no need to be expert from Day 1 Future opportunity for full-time employment 📧 How to Apply: Send your resume and a brief write-up on “What interests you about AI+Hardware integration?” 📩 Email: hr@indzone.in 📱 WhatsApp: +91 9971 7788 48 Show more Show less

About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning. 5+ years of hands-on experience in building and deploying production-grade computer vision models. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models). Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus. Strong written and verbal communication skills, with a track record of mentoring and collaboration. Preferred Qualifications: Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance). Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.). Exposure to MLOps or ML model lifecycle in production environments. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Android Developer Experience: 1 Year Key Skills: Android Studio, OpenCV, OpenGL

Job Title: AI/ML Engineer (Graduate) Location: Kochi, India (Onsite) Permanent – Full time About Us: Cyncly is a global technology powerhouse with 2,400+ employees and 70,000+ customers across 100+ countries. Cyncly transforms the way customizable products and spaces are imagined, designed, sold, managed and made. Our end-to-end software solutions connect professional designers, retailers and manufacturers to the world's largest repository of product content. Today, our business spans across the Kitchen & Bath, Furniture, Window, Glass & Door, and Flooring industries with operations in North & South America, Europe, Asia Pacific and Africa. Cyncly brings over 30 years of experience to deliver more value for our customers through an expanded portfolio of end-to-end solutions. Our global presence allows us to provide world-class support and sales with a local touch, providing the best possible customer experience. Cyncly is now embarking on an exciting journey as we continue to expand through strong organic growth and complementary acquisitions, backed by leading growth private equity firms specializing in technology. Build Your Career with Cyncly in Kochi Cyncly’s Kochi office is our newest global hub — and we're building something amazing. As part of our Cyncly Graduate Program , this role is designed to help fresh graduates like you launch your career with purpose. You’ll work on impactful projects, learn from experts, and contribute from Day One. Here’s what you can expect: Real work from Day 1: Be part of product teams building solutions used by thousands. Learning that bridges the gap: full tech stack training + structured onboarding. Guidance at every step: A mentor, a buddy, and a team that’s invested in your success. Global exposure: Collaborate with cross-regional teams from APAC, Europe, and North America. Growth + Stability: Highly competitive salary package, plus wellness benefits and a roadmap for your future. About the Role: As an AI/ML Engineer within the AI Center of Innovation at Cyncly, you will be instrumental in designing and implementing state-of-the-art solutions utilizing AI and computer vision models. Your role extends to crafting and deploying APIs that integrate AI model-based solutions seamlessly with client applications. You will be part of a team which is constantly involved in researching and implementing cutting edge AI based solutions which not only improves experience of our customers but also support internal users in their day-to-day tasks. What You'll Do & Learn (Responsibilities): Design data solutions to meet business, technical and user requirements. This includes uilding REST APIs that meet the functional/non-functional business requirements and meets the standards. Designing of DB schema for Vector Database and writing efficient and scalable queries. Meet the highest quality standards in code. And evangelise code quality among the team. Create quick POCs to demonstrate and showcase the technology capabilities in solving the business need. Building robust build and deployment pipelines using Azure DevOPs tools. Working with DevOps engineers to make sure continuous integration and continuous deployment. Understanding the cyber security threats and provide solutions to mitigate the security risks. Trouble shooting and debugging skills to quickly identify the root causes and address the issues with both tactical and permanent solution. Work with Data scientists and Data Engineers in understanding the end to end design of the enterprise systems. Contribute in technical discussion in providing best software solution. Make the application scale to the demand. Help devops engineers in configuring and deploying in a secured and highly scalable cloud environment. Improve the Coding standards and DevOps maturity by constantly adopting the best standards. Maintain unit testing, integrated testing and automated test environments for quicker delivery. Deliver on time with high quality. Maintain technical documentation of the solution, which presents the design to various stakeholders. What We're Looking For (Experience and Qualifications): Bachelor’s degree in computer science, AI or related fields. Upto 1 year of experience in AI/ML space. Good knowledge of python. Some exposure to python libraries like Tensorflow, pyTorch, OpenCV, Pillow,scikit-image. Familiarity with concepts of Deep Learning, Gen AI and Computer Vision. Good knowledge of SQL. Required Skills and Competencies: Strong problem-solving ability and eagerness to learn. Flexibility and adaptability, ability to work in ambiguous situations, and also evolve as a great team-player. Ability to adapt and work in a dynamic environment. Good communication skills and ability to work collaboratively within a team. Working for Us At Cyncly, we’re a global family that collaborates with humility and respect for one another. With more than 2,400 employees around the world, we not only recognize our diverse perspectives, we champion our different outlooks and firmly believe it to be what makes us better together. You can expect to work in a supportive and nurturing environment, with experts in their fields who strive for quality and excellence without compromising others. We also believe in a flexible and autonomous working environment, focused on the continual growth of our employees. Diversity of experience and skills combined with passion is a key to innovation and brilliance, so we encourage applicants from all backgrounds to apply to our roles. That’s who we are: A team that recognizes our strength is in working together to not only get things done, but also lead the industry with a bold approach that’s dedicated to making our customers better. Come join us. Show more Show less

Job Title: Data Scientist – Computer Vision & Generative AI Location: Mumbai Experience Level: 3 to 4 years Employment Type: Full-time Industry: Renewable Energy / Solar Services Job Overview: We are seeking a talented and motivated Data Scientist with a strong focus on computer vision, generative AI, and machine learning to join our growing team in the solar services sector. You will play a pivotal role in building AI-driven solutions that transform how solar infrastructure is analyzed, monitored, and optimized using image-based intelligence. From drone and satellite imagery to on-ground inspection photos, your work will enable intelligent automation, predictive analytics, and visual understanding in critical areas like fault detection, panel degradation, site monitoring, and more. If you're passionate about working at the cutting edge of AI for real-world sustainability impact, we’d love to hear from you. Key Responsibilities: Design, develop, and deploy computer vision models for tasks such as object detection, classification, segmentation, anomaly detection, etc. Work with generative AI techniques (e.g., GANs, diffusion models) to simulate environmental conditions, enhance datasets, or create synthetic training data. Build ML pipelines for end-to-end model training, validation, and deployment using Python and modern ML frameworks. Analyze drone, satellite, and on-site images to extract meaningful insights for solar panel performance, wear-and-tear detection, and layout optimization. Collaborate with cross-functional teams (engineering, field ops, product) to understand business needs and translate them into scalable AI solutions. Continuously experiment with the latest models, frameworks, and techniques to improve model performance and robustness. Optimize image pipelines for performance, scalability, and edge/cloud deployment. Key Requirements: 3–4 years of hands-on experience in data science, with a strong portfolio of computer vision and ML projects. Proven expertise in Python and common data science libraries: NumPy, Pandas, Scikit-learn, etc. Proficiency with image-based AI frameworks: OpenCV , PyTorch or TensorFlow , Detectron2 , YOLOv5/v8 , MMDetection , etc. Experience with generative AI models like GANs , Stable Diffusion , or ControlNet for image generation or augmentation. Experience building and deploying ML models using MLflow , TorchServe , or TensorFlow Serving . Familiarity with image annotation tools (e.g., CVAT, Labelbox), and data versioning tools (e.g., DVC). Experience with cloud platforms ( AWS , GCP , or Azure ) for storage, training, or model deployment. Experience with Docker , Git , and CI/CD pipelines for reproducible ML workflows. Ability to write clean, modular code and a solid understanding of software engineering best practices in AI/ML projects. Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment. Bonus / Preferred Skills: Experience with remote sensing and working with satellite or drone imagery. Exposure to MLOps practices and tools like Kubeflow , Airflow , or SageMaker Pipelines . Knowledge of solar technologies, photovoltaic systems, or renewable energy is a plus. Familiarity with edge computing for vision applications on IoT devices or drones. Application Instructions: Please submit your resume, portfolio (GitHub, blog, or project links), and a short cover letter explaining why you’re interested in this role to khushboo.b@solarsquare.in or sidhant.c@solarsquare.in Show more Show less

Responsibilities: Collaborate with cross-functional teams on project requirements & deliverables. Design, develop, test & maintain Python apps using Django/Flask & AWS/Azure Cloud.

Job Title: Data Scientist – OpenCV Experience: 2–3 Years Location: Bangalore Notice Period: Immediate Joiners Only Job Overview We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment. Key Responsibilities Develop and implement computer vision solutions using OpenCV and Python. Work on tasks including object detection, recognition, tracking, and image/video enhancement. Clean, preprocess, and analyze large image and video datasets to extract actionable insights. Collaborate with senior data scientists and engineers to deploy models into production pipelines. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning. Prepare clear documentation for models, experiments, and technical processes. Required Skills Proficient in OpenCV and image/video processing techniques. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib. Solid understanding of basic machine learning and deep learning concepts. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus. Excellent analytical, problem-solving, and debugging skills. Effective communication and collaboration abilities. Preferred Qualifications Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field. Practical exposure through internships or academic projects in computer vision or image analysis. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage. What We Offer A dynamic and innovation-driven work culture. Guidance and mentorship from experienced data science professionals. The chance to work on impactful, cutting-edge projects in computer vision. Competitive compensation and employee benefits. Show more Show less

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

fleetx.io is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

Role Summary You will own the full ML stack that turns raw dielines, PDFs, and e-commerce images into a self-learning system that reads, reasons about, and designs packaging artwork. This includes: Building data-ingestion and annotation pipelines (SVG and PDF to JSON) Designing or modifying model heads on top of LayoutLM-v3, CLIP, GNNs, diffusion LoRAs Training and fine-tuning on GPUs Shipping inference APIs and evaluation dashboards You will work day-to-day with packaging designers and a product manager. You will be the technical authority on deep learning for this domain. Key Responsibilities Data and Pre-processing (approx. 40 percent) Write robust Python scripts to parse PDF, AI, SVG files; extract text, colour separations, images, and panel polygons Implement Ghostscript, Tesseract, YOLO, and CLIP pipelines Automate synthetic-copy generation for ECMA dielines Maintain vocabulary YAMLs and JSON schemas Model R&D (approx. 40 percent) Modify LayoutLM-v3 heads (panel-ID, bounding box regression, colour, contrastive learning) Build panel-encoder pre-training (mask-panel prediction) Add Graph Transformer and CLIP-retrieval heads Optional: diffusion generator Run experiments, hyperparameter sweeps, ablations Track KPIs such as IoU, panel-F1, and colour recall MLOps and Deployment (approx. 20 percent) Package training and inference into Docker, SageMaker, or GCP Vertex jobs Maintain CI/CD and experiment tracking using Weights and Biases or MLflow Serve REST or GraphQL endpoints used by designers and front-end teams Implement an active-learning loop that ingests designer corrections nightly Must-Have Qualifications 5+ years experience with Python, and 3+ years with deep learning (PyTorch, Hugging Face) Hands-on experience with Transformer-based vision-language models (LayoutLM, Pix2Struct) Familiarity with object detection (YOLOv5 or YOLOv8, DETR) Comfortable with PDF and SVG toolchains such as PyMuPDF, pdfplumber, Ghostscript, svgpathtools, and OpenCV Experience designing custom model heads and loss functions Ability to fine-tune large pretrained checkpoints on limited data Solid Linux and GPU knowledge Experience with GNNs or relational transformers Clean and idiomatic Git usage with reproducible experiment tracking Nice to Have Knowledge of colour science (Lab, ICC profiles, Pantone tables) or print production Experience with multimodal retrieval (CLIP, ImageBind) or diffusion fine-tuning (LoRA, ControlNet) Background in packaging or consumer goods industry (e.g., Nutrition Facts, ECMA codes) Experience using FAISS and ML tooling on AWS or GCP Familiarity with Typescript or React for simple label preview UIs Primary Tool Stack PyTorch, Hugging Face Transformers, torch-geometric PyMuPDF, pdfplumber, svgpathtools, OpenCV, Ghostscript Tesseract, YOLOv8, Grounding DINO CLIP, ImageBind, FAISS Docker, GitHub Actions, W&B, MLflow AWS SageMaker, GCP Vertex Python (primary), plus some Bash, JSON, YAML First 6 Months: Sample Deliverables Data pipeline v1 that converts 500+ ECMA dielines and 200 PDFs into training-ready JSON Panel-encoder model with less than 5 percent masked-panel error MVP copy-placement model achieving 85 percent IoU on validation data Inference service with preview UI capable of generating packaging layout for one SKU in under 10 seconds Nightly active learning retraining loop integrated with real user corrections

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Do you want to be part of a business that genuinely values entrepreneurialism , innovation and individual accountability? We focus on our customers and are proud of the difference our technology makes. We partner with some of the biggest manufacturing companies in the world and our technical innovations are used to enhance well-known brands across multiple industries. The position - Job Title: Software Development Engineer in Test (SDET) – Embedded Systems & Desktop Integration We are seeking a technically strong and automation-savvy Software Development Engineer in Test (SDET) to join our dynamic product testing team.based in Chennai (India). This team is part of a bigger global R&D team. In this role, you will design, develop, and execute robust test solutions for embedded software systems interfacing with desktop applications that reports out data, signals, and graphs along with post analysis . You’ll work across firmware, APIs, and GUI layers , owning the quality process end-to-end — from test strategy to automation implementation and result analysis — with a focus on performance, accuracy, and reliability.You will work as part of a global R&D team supporting HBM Genesis High Speed, LanXi and Fusion products. HBK products contribute to a variety of applications across technology sectors such as: Automotive, Electric Drives & Generator, Aerospace, Energy / High-Voltage, Material Testing and Service. This will include manual and predominantly automated testing of the application and overall system. You will be responsible for: Own the test strategy, planning, and execution for system-level, functional, regression, and performance testing. Design, develop, and maintain automated test frameworks for embedded software interacting with desktop applications.Work in conjunction with the global Verification & Validation team to drive and align HBK global processes and standards. Setting up of automated system tests for new feature testing and ensuring those system tests remain up and running. Implement desktop UI automation (e.g., signal and graph validation) using tools like Pywinauto, WinAppDriver, or OpenCV-based validation. To contribute in conjunction with other members of the team to ensure all software errors are identified and reported. Monitor system test results and perform first level diagnostics. Assist with resolution and reproduction of user software problems. Contribute to the development and continuous improvement of the software by working in conjunction with software testers and developers based in the Europe. Take on technical leadership responsibilities within an agile product team. Professional Qualifications 3-6 years’ experience in similar previous roles specifically including 2 years’ experience in software testing of data acquisition software, ideally in embedded or real-time systems Strong programming skills in Python or C# – with experience in building test automation frameworks. Experience with automated UI testing of desktop applications (Windows-based) and tools like Pywinauto, AutoIt, WinAppDriver, or similar. Bachelor or master of Engineering or Technology degree in Electrical, Electronics, Communication, Instrumentation, Mechanical, Computer Science or Information Technology. Knowledge of testing processes, tools and methodologies. Knowledge / experience of Agile Software Development & Testing, SAFe (Scaled Agile Framework). Hands-on experience with Jira, Confluence, and version control systems (e.g., Git). Familiarity with signal or waveform validation, data acquisition, or test & measurement systems is a strong plus. Contribute to process improvement, CI/CD pipeline integration, and test data management. Agile or ISTQB Software Test certification would be an advantage. Preferences: Working knowledge of various testing frameworks like Ceedling, GoogleTest, or host-based simulations. Solid understanding of embedded systems and communication protocols We offer Freedom with responsibility is the framework for HBK’s employees. This allows for a good balance between work and family life and for constant development of professional and personal skills in an international and enjoyable working environment. You'll have the space to innovate, architect, and mentor — helping shape the future of embedded QA at HBK. One Company – HBK On 1 January 2019, Brüel & Kjær and HBM merged their activities into a new company called HBK (Hottinger Brüel & Kjær). With more than 3,500 employees worldwide and production facilities in Denmark, Germany, the UK, the USA, China and Portugal and presence in 80 countries, HBK is a leading player in the test and measurement area. For further info please visit www.hbkworld.com. HBK is a division of Spectris plc, a UK-based productivity-enhancing instrumentation and controls company serving leading aerospace, automotive, medical, and other customers. Spectris plc is listed on the London Stock Exchange. Show more Show less

It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Position Overview: We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds. Responsibilities: Develop machine vision system with Python/C++. Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems. Optimize algorithms for real-time performance and high-speed processing. Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products. Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing. Implement advanced AI annotation and active learning pipelines Requirements: Master's or Bachelor’s degree in Computer Science or related field. 2+ years of work experience with experience in image processing, computer vision, and deep learning. Proficiency in MATLAB and strong skills in Python and/or C++ programming languages. Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc. Good understanding of deep learning techniques and algorithms. Experience with point cloud is good to have Knowledge on MLOps and DevOps would be good to have. Knowledge on any cloud platform – GCP/Azure/AWS would be preferred. Excellent problem-solving skills and ability to work independently as well as in a team environment. Strong communication skills with the ability to articulate technical concepts effectively. Personal Attributes: Strong oral and written communication skills. Strong interpersonal and influencing skills. Effective team building and problem-solving abilities. Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies. Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles… People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! http://www.WabtecCorp.com Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles… People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know. Show more Show less

Define clear project goals, scope, and deliverables in alignment with company objectives. Develop and manage comprehensive project timelines, milestones, budgets, and resource plans. Lead robotics projects involving embedded systems, ROS integration, AI modules, and application development. Possess strong hands-on knowledge of microcontrollers and embedded programming. Supervise firmware development, sensor-actuator interfacing, and low-level hardware control. Ensure proper architecture and deployment of ROS/ROS2 systems including mapping, navigation, and custom node development. Oversee AI/ML integration (YOLO, TensorFlow, OpenCV, etc.) for robotic perception and decision-making. Manage CAD-based mechanical design, component selection, and assembly for custom robotics platforms. Oversee PCB design, electronics prototyping, and system integration using tools like Altium or KiCAD. Coordinate the development of mobile or web applications for robot control and monitoring (Flutter, React Native, or native stacks). Bridge communication between hardware, software, design, and AI teams to ensure seamless integration. Identify potential technical and operational risks; develop and implement mitigation strategies. Troubleshoot system issues during development and deployment phases to ensure smooth execution. Lead sprint planning, weekly reviews, and milestone-based execution with clear documentation. Track and control project costs, procurement, and vendor management to ensure budget adherence. Research and apply for relevant tech grants, funding opportunities, or sponsorships. Maintain strict adherence to best practices in robotics safety, software reliability, and hardware modularity. Ensure scalable and maintainable system design principles are followed across the team. 2+ years of proven experience in managing robotics or deep-tech product development projects. Strong understanding of IoT communication protocols (MQTT, WebSocket, HTTP) and cloud integration. Excellent technical leadership, documentation, and decision-making skills. Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Responsibilities: Design and implement scalable, maintainable, and high-performance software systems. Define architecture for AI-enabled applications and services. Develop and deploy machine learning models using Python libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Evaluate model performance and fine-tune algorithms based on business requirements. Integrate AI models into production environments. Write clean, modular, and efficient Python code. Use Python for backend APIs, data processing pipelines, and scripting automation. Utilize frameworks like Django, Flask, or FastAPI when needed. Design and manage data pipelines and ETL processes for AI applications. Work with databases (SQL and NoSQL), APIs, and cloud storage systems. Conduct code reviews to ensure adherence to best practices and coding standards. Maintain and improve existing codebases. Build and train custom models for NLP, computer vision, recommendation systems, etc. Perform exploratory data analysis and feature engineering. Stay updated with the latest AI research and implement new techniques Propose innovative AI-driven solutions to business problems. Mentor junior developers and guide them in AI and software development. Lead technical discussions and peer-learning sessions. Collaborate with product managers, designers, and other stakeholders to define requirements and timelines. Break down complex tasks into manageable deliverables and delegate accordingly. Participate in agile ceremonies (daily standups, sprint planning, retrospectives). Ensure timely delivery of project milestones. Deploy AI services using cloud platforms (AWS, Azure, GCP). Use Docker, Kubernetes, CI/CD tools for automated deployment and scalability. Python Libraries: NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, OpenCV, NLTK, SpaCy Web: Flask, FastAPI, Django Data/Storage: PostgreSQL, MongoDB, Redis, S3 DevOps: Docker, Git, Jenkins, Kubernetes Cloud: AWS SageMaker, Azure ML, Google AI Platform Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Weekend availability Supplemental Pay: Yearly bonus Experience: total work: 1 year (Required) Work Location: In person Application Deadline: 22/06/2025 Expected Start Date: 25/06/2025

Transform 800,000 hectares of greenhouses into fully-autonomous unmanned food production sites At Eternal, we're building the future of sustainable food production. Our mission is to convert the world's existing greenhouses into unmanned facilities that can produce fresh food year-round - addressing the critical need to double food production by 2050 while facing severe labor shortages, water scarcity, and climate challenges. About the Role Join our world-class computer vision team as we revolutionize horticulture automation. Whether you're a recent graduate eager to make your mark or an experienced engineer looking for your next challenge, you'll develop cutting-edge perception systems that enable robots to understand and interact with complex greenhouse environments - from identifying ripe produce to detecting plant diseases and optimizing crop health. As a Computer Vision Engineer at Eternal, you'll be part of a high-performance culture that values first-principles thinking and rapid iteration. You'll work at the intersection of classical computer vision and modern deep learning, creating perception systems that operate reliably in challenging agricultural environments with varying lighting, occlusions, and organic variability. You'll collaborate with a distributed team across our Cologne HQ and Bengaluru office, pushing the boundaries of what's possible in agricultural computer vision while delivering practical solutions that work 24/7 in production environments. What You'll Do Design and implement robust computer vision algorithms for crop detection, ripeness assessment, and precise localization in dynamic greenhouse environments Develop deep learning models for multi-class segmentation, object detection, and tracking of plants, fruits, and agricultural structures Create real-time perception pipelines that process 2D/3D sensor data for robotic decision-making with sub-centimeter accuracy Build intelligent systems that adapt to varying environmental conditions, including changes in lighting, plant growth stages, and seasonal variations Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency Implement continuous learning systems that improve model performance through data collected from our deployed robot fleet Collaborate cross-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end-to-end perception solutions Qualifications Core Requirements (All Levels) Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (or graduating by Summer 2025) Strong programming skills in C++ and/or Python for computer vision applications Understanding of fundamental computer vision concepts: image processing, feature detection, camera calibration, and 3D geometry Experience with deep learning frameworks (PyTorch, TensorFlow) and classical CV libraries (OpenCV) Familiarity with Linux environments and version control systems Passion for solving complex real-world problems with tangible impact Experience Levels New Graduate / Entry Level (0-2 years) Recent graduate or final year student with strong academic performance Hands-on computer vision experience through internships, research projects, or competitions Demonstrated programming skills through coursework or personal projects Understanding of CNNs and basic deep learning architectures Early Career (2-5 years) Solid foundation in both classical and deep learning-based computer vision Experience deploying at least one vision system from research to production Proficiency with modern architectures (YOLO, Mask R-CNN, Vision Transformers) Understanding of model optimization techniques and edge deployment Senior Level (5-8 years) Proven track record of deploying vision systems in production environments Experience with 3D vision, multi-sensor fusion, or SLAM algorithms Knowledge of model optimization for embedded systems (quantization, pruning, distillation) Ability to mentor junior engineers and lead technical initiatives Staff/Principal Level (8+ years) Technical leadership experience with complex perception systems Deep expertise across multiple vision domains (2D/3D, classical/learning-based) Strategic thinking about perception architecture and technology roadmaps Track record of building and scaling high-performance computer vision teams Preferred Qualifications Experience with agricultural or outdoor computer vision applications Knowledge of 3D sensors (stereo cameras, LiDAR, structured light) GPU programming skills (CUDA) for accelerating vision algorithms Experience with vision-language models or foundation models Familiarity with ROS2 for perception system integration Publications at top-tier computer vision conferences (CVPR, ICCV, ECCV) Open source contributions to computer vision projects Why Eternal? Launch Your Career : For new graduates, this is a unique opportunity to join a proven team and learn from engineers who've already built and deployed commercial vision systems. You'll get hands-on experience with cutting-edge technology while making a real-world impact from day one. Impact at Scale : Your perception algorithms will directly enable robots to transform 800,000 hectares of greenhouses worldwide into sustainable, autonomous food production facilities. Technical Excellence : Work with state-of-the-art computer vision technology including modern deep learning architectures, 3D perception, and multi-modal sensor fusion. Rapid Innovation : Our software-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over-the-air as crops evolve. Unique Challenges : Tackle perception problems that combine the complexity of outdoor vision (varying lighting, weather) with the precision requirements of industrial automation. Growth Opportunity : Join as we scale from proof-of-concept to global deployment. Be part of the core team shaping the future of agricultural perception. Clear career progression from graduate to senior engineer and beyond. Mentorship & Learning : Work alongside experienced computer vision engineers who've solved complex real-world problems. We invest in your growth through hands-on projects, technical mentorship, and exposure to all aspects of vision system development. Flexible Work Culture : Distributed team with offices in Cologne and Bengaluru, following a "follow-the-sun" support model for our 24/7 operations. Our Tech Stack Vision Libraries : OpenCV, PCL, Open3D Deep Learning : PyTorch, TensorFlow, ONNX Deployment : TensorRT, OpenVINO, ONNX Runtime Sensors : RGB cameras, stereo vision, depth sensors Infrastructure : Cloud-native training pipelines, edge deployment systems Integration : ROS2 for robotic system integration Apply Now Ready to revolutionize how the world grows food through advanced computer vision? Whether you're starting your career or looking to make a bigger impact, join us in building perception systems that will enable sustainable food production for billions. We're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who are excited about our mission and show potential to grow with us. Recent graduates - don't let experience requirements hold you back; we value passion, potential, and fresh perspectives. Eternal is building unmanned food production sites that can sustainably produce fresh food year-round. Backed by world-class investors and partnering with leading agricultural companies, we're turning the vision of fully-autonomous unmanned greenhouses into reality.

About the Role: We are looking for a passionate and hands-on Junior Computer Vision Engineer to join our AI team. You will work on real-world vision-based problems such as object detection, image segmentation, OCR, and more. This is a great opportunity to work on end-to-end model development and gain experience in deploying AI solutions in production environments. Responsibilities: · Assist in the design, training, and evaluation of computer vision models (e.g., YOLO, Mask R-CNN, OpenCV-based algorithms). · Work with datasets for preprocessing, augmentation, annotation, and evaluation. · Develop and optimize Python scripts and AI pipelines. · Collaborate with senior team members to deploy models on edge devices or cloud. · Maintain documentation and contribute to project reports. Required Skills: · Strong Python programming skills. · Basic understanding of computer vision tasks: classification, detection, segmentation. · Familiarity with tools like OpenCV, NumPy, and image annotation platforms (e.g., CVAT, LabelImg). · Exposure to model training and evaluation. · Preferred Skills: · Basic knowledge of ONNX, TensorRT, or OpenVINO. · Familiarity with version control (Git) and containerization (Docker). Qualification: · Bachelor’s Degree - CS/ Electronics /MCA / BCA Job Types: Full-time, Permanent Pay: ₹200,000.00 - ₹400,000.00 per year Schedule: Day shift Education: Bachelor's (Preferred) Experience: Basic knowledge of ONNX, TensorRT, or OpenVINO: 1 year (Required) Version control (Git) and containerization (Docker).: 1 year (Required) Tools like OpenCV, NumPy, & image annotation: 1 year (Required) Strong Python programming skills: 1 year (Required) Computer vision: classification, detection, segmentation.: 1 year (Required) Exposure to model training and evaluation: 1 year (Required) Work Location: In person