437 Object Detection Jobs

Are you ready to experiment, learn, and implement in the field of ML, Python, Computer Vision, hardware platforms like Jetson Nano and Raspberry Pi, and cloud services Join us on a new adventure where your expertise can revolutionize the dynamics of our organization. We believe in selection, not rejection, and we are excited to welcome you to our team. OptiSol is your destination for a stress-free and balanced lifestyle. We provide a nurturing environment where your career can flourish. As a certified GREAT PLACE TO WORK for 4 consecutive years, we value open communication, accessible leadership, diversity, and work-life balance with flexible policies. At OptiSol, you can thrive both personally and professionally. We are at the forefront of AI and innovation, shaping the future together. Join us on this journey of learning and growth. What we like to see in you: - Core Competencies: Programming, AI Expertise, IoT Hardware, Protocols (RTSP, TCP, MQTT, Modbus, UART), Leadership - Bachelor's/masters in computer science, ECE, or related fields - Expertise in Python and relevant ML frameworks (TensorFlow, PyTorch, OpenCV) - Strong understanding of neural networks, transfer learning, and optimization techniques - Proficiency with Jetson Nano, Raspberry Pi, Arduino, and related platforms - Familiarity with RTSP, TCP, MQTT, Modbus, UART - Proven experience in leading technical teams and managing projects What do we expect: - Hands-on experience with model quantization, multitask learning, and zero-shot fine-tuning - Familiarity with OCR and multimodal LLMs for different data types - Experience in API development using FastAPI and Django, plus Android AI apps - Knowledge of industrial cameras, motor drivers, and Ethernet switches - Proficiency in CUDA programming and GPU optimization What You'll Bring to the Table: - Lead a team of AI engineers and promote a creative and collaborative environment - Work with stakeholders to define project goals and milestones - Deliver high-quality AI-driven solutions on time - Tweak machine learning and computer vision algorithms for tasks like object detection - Deploy AI on edge devices like Jetson Nano or Raspberry Pi - Integrate AI models with electronics and solve hardware-software challenges - Manage AI services on cloud platforms (AWS, Azure, Google Cloud) - Test, validate, and document solutions following industry best practices Core benefits you'll gain: - Lead and inspire a team of engineers in a collaborative setting - Directly shape project goals and ensure project success - Gain hands-on experience in cutting-edge AI and computer vision applications - Dive into edge devices like Jetson Nano and Raspberry Pi - Manage AI services on cloud platforms securely and efficiently - Develop a well-rounded skill set in AI and hardware Join us as an OptiSolite and discover a fulfilling career with us. Explore life at OptiSol and learn more about our culture on our Insta Page.,

As an AI Computer Vision Engineer with 4+ years of experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, and face recognition. You will optimize models for performance on edge devices and apply data augmentation techniques to image/video datasets. Additionally, you will need proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Your role will involve hands-on implementation of machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms. Understanding image processing concepts and experience in model optimization, quantization, or deploying to edge devices will be essential. You should have strong programming skills in Python (or C++) and expertise in implementing and optimizing machine learning pipelines for seamless integration into production systems. Experience with real-time computer vision applications, OpenCV, NumPy, PyTorch/TensorFlow, and computer vision models like YOLOv5, Mask R-CNN will be beneficial. Engaging with multiple teams, contributing to key decisions, and providing solutions that apply across multiple teams are expected from you. You will lead the implementation of large language models in AI applications and research cutting-edge AI techniques to enhance system performance. Contribution to the development and deployment of AI solutions across various domains is also part of your responsibilities. In terms of requirements, you should design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection, and named entity recognition. Evaluating and integrating third-party OCR tools, developing pre-processing and post-processing pipelines for image/text data, and familiarity with video analytics platforms are necessary skills. Experience with MLOps tools, academic CV research, and knowledge of GPU acceleration or hardware integration will be advantageous for this role.,

As a Computer Vision Architect with 10-15 years of experience, you will be responsible for leading the development of advanced computer vision systems. Your role will involve managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects. You must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics. Your key responsibilities will include leading the computer vision team, providing mentorship and guidance to junior members, developing and implementing strategies for advanced computer vision projects, and collaborating with cross-functional teams to integrate computer vision solutions into products. You will design, develop, and optimize models for image classification, object detection, and segmentation. Additionally, you will innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection. In terms of dataset generation and image processing, you will oversee the creation and management of large-scale datasets for training and evaluation. You will also enhance image processing pipelines, focusing on techniques like noise reduction and data compression. As part of model training and evaluation, you will lead the end-to-end process of model training, validation, and deployment. You will utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training, ensuring models meet accuracy and performance standards through rigorous testing and iteration. Your technical expertise will be crucial in applying strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems. It is important to stay updated with the latest research and advancements in the fields of computer vision and machine learning. In terms of project management, you will be responsible for managing multiple projects simultaneously, ensuring timely delivery and adherence to project requirements. Effective communication of progress, challenges, and results to stakeholders is key. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or a related field. You should have a proven track record of leading successful computer vision projects and possess excellent problem-solving skills, attention to detail, and strong communication and collaboration skills. Preferred qualifications include publications or patents in the field of computer vision, experience with edge computing and real-time image processing, and familiarity with other programming languages and frameworks related to AI and machine learning.,

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,

Job Overview: We are seeking a highly detail-oriented and experienced Data Annotation Specialist to join our AI/ML team. The ideal candidate will have a solid background in labeling multimodal data (image, text, video, audio) for machine learning applications and a proven ability to maintain high-quality annotation standards. This role requires a mix of technical proficiency, domain awareness, and strong quality assurance capabilities. Key Responsibilities: Annotate image, text, video, and multimodal datasets for AI/ML model training. Perform object detection, classification, and tagging in visual data. Conduct text annotation for intent detection, sentiment analysis, and named entity recognition (NER). Execute video annotation for activity recognition and event labeling. Apply quality assurance (QA) standards across annotation tasks and provide feedback to maintain consistency. Use industry-standard annotation tools such as Labelbox, CVAT, Prodigy, AWS SageMaker Ground Truth, and Scale AI platforms. Interpret and implement complex annotation guidelines with minimal supervision. Collaborate with cross-functional teams to refine annotation schema and ensure data readiness for model training pipelines. Required Qualifications: 5+ years of hands-on experience in data labeling/annotation across multiple data types. Proficiency with annotation platforms including (but not limited to) Labelbox, CVAT, Prodigy, and AWS Ground Truth . Strong attention to detail with the ability to maintain accuracy in repetitive tasks. Familiarity with QA processes in the data annotation lifecycle. Basic understanding of machine learning workflows and data preparation. Experience working with complex annotation guidelines and adapting to evolving task requirements. Preferred Qualifications: Domain knowledge in Natural Language Processing (NLP), Computer Vision , or Speech Recognition . Experience with scripting languages like Python for data preprocessing, automation, or QA validation. Prior experience in leading annotation teams or managing projects with distributed contributors. Familiarity with agile project management tools such as Jira or Asana. Soft Skills: Excellent verbal and written communication skills. Strong collaboration mindset, capable of working with interdisciplinary teams. Ability to work independently , manage multiple tasks, and prioritize effectively. Proactive problem-solver with a keen eye for process optimization.

Are you passionate about computer vision, augmented reality, and deep learning Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We are seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches. About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is seeing is believing, and that's exactly what we're doing with Web AR. We're helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call smart shopping. As we experience significant growth, we're expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You'll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our clients" expectations. Responsibilities: - Collaborate with our engineering and production team to build and refine VTO models. - Assist in the development and training of machine learning models, particularly in computer vision applications. - Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments. - Optimize model performance for real-time user interactions. Required Skills: - Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). - Experience with computer vision libraries (e.g., OpenCV, Mediapipe). - Knowledge of 3D geometry, pose estimation, and object detection. - Familiarity with augmented reality development tools and frameworks. - Strong understanding of convolutional neural networks (CNNs) and model training techniques. - Experience working with datasets for image processing and custom landmark detection. - Attention to detail and ability to work collaboratively under deadlines. Preferred Qualifications: - JavaScript experience, particularly for integrating AR/VR solutions into web environments. - Prior experience in building virtual try-on (VTO) systems or related AR applications. - Familiarity with real-time inference optimization and model compression techniques. - Knowledge of wrist landmark detection and training custom models for body part tracking. What We Offer: - An opportunity to work in a dynamic, growth-driven environment. - Hands-on experience with innovative technology in augmented reality. - Mentorship from experienced professionals in computer vision and AR. - A platform to sharpen your skills and contribute to exciting real-world applications. THIS IS AN UNPAID INTERNSHIP THAT OFFERS AN EXCELLENT LEARNING OPPORTUNITY WITH REAL-WORLD IMPACT AND EXPOSURE TO CUTTING-EDGE TECHNOLOGY. ONLY APPLICANTS WHO CAN WORK ONSITE SHOULD APPLY.,

As an Intern Computer Vision Engineer - Data Scientist at Neuronest AI Pvt Ltd in Coimbatore, your role will involve working on day-to-day tasks related to computer vision, data science, and machine learning. Your key responsibilities will include developing and implementing computer vision algorithms such as object detection, tracking, and segmentation in video surveillance systems. You will also apply traditional image processing techniques like filtering, edge detection, and morphological operations to enhance video analysis. Writing and maintaining scalable code in Python and C++ for real-time video data processing and complex analyses will be crucial. You will integrate algorithms into video surveillance systems, conduct testing for reliability, collaborate with cross-functional teams, and document processes for future development. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields, along with at least 1 year of experience in developing computer vision applications with a focus on object detection, tracking, and segmentation. Proficiency in computer vision techniques, deep learning-based methods, Python, and C++ using libraries like OpenCV, TensorFlow, or PyTorch is essential. Knowledge of video surveillance systems, real-time video processing, and familiarity with FFmpeg, Gstreamer, basic networking protocols, cloud platforms, and distributed systems will be advantageous. In addition to technical skills, soft skills like strong problem-solving, analytical abilities, independence in work, and efficient task management are valuable attributes for this role. Staying updated with advancements in computer vision and proposing innovative solutions to enhance system capabilities will be encouraged.,

You are a Computer Vision/ML Engineer who will be a valuable addition to our team dedicated to solving machine vision problems. In this role, you will be responsible for developing and implementing state-of-the-art computer vision algorithms to ensure top-notch quality standards for our products. Your primary responsibilities will include: - Developing and implementing computer vision and machine learning algorithms for detecting and classifying defects in manufacturing facilities. - Preprocessing and augmenting project datasets to enhance model performance. - Staying updated with the latest research and advancements in computer vision and machine learning specifically related to defect detection and classification. - Optimizing existing computer vision models for improved accuracy and efficiency in classification. - Conducting experiments to evaluate model performance using relevant metrics and benchmarks. - Researching and innovating solutions to tackle challenges in defect detection and classification. - Collaborating closely with software engineers to integrate models into final production systems. To excel in this role, you should possess the following qualifications: - A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3-4 years of professional experience in computer vision and machine learning, focusing on object detection and classification. - Profound knowledge of computer vision basics, including image preprocessing, feature extraction, object detection, and image segmentation. - Proficiency in Python programming. - Experience with deep learning frameworks like TensorFlow or PyTorch. - Familiarity with data augmentation techniques, filtering, and contour extraction. - Understanding of cutting-edge computer vision models and techniques applicable to defect detection and classification tasks. - Strong problem-solving abilities and the capacity to work both independently and collaboratively. - Excellent communication and collaboration skills. Preferred qualifications include: - Experience in quality control or inspection projects within manufacturing environments. - Knowledge of industrial imaging systems and techniques. - Understanding of parallel computing and GPU optimization for accelerated model training and inference. Joining our team offers you numerous benefits, such as: - Opportunity to shape your career path independently. - Exposure to a diverse consulting environment working with Fortune 500 companies and startups. - A dynamic yet supportive work atmosphere that fosters personal growth. - Involvement in a close-knit community that extends beyond work, including sports, social gatherings, and shared interests. - Being part of the exciting growth journey at Thoucentric. If you are passionate about computer vision and machine learning, and eager to contribute to cutting-edge projects in a supportive and collaborative environment, we encourage you to apply and become part of our team at Thoucentric.,

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Oracle Cloud Infrastructure (OCI) is leading cloud innovation, combining startup agility with the reliability of a top enterprise software provider. The AI Science team focuses on cutting-edge machine learning solutions that address real-world challenges at scale. We are seeking an experienced Sr. Applied Scientist (IC3) with expertise in Generative AI and Computer Vision to develop highly complex and accurate data science models. As a Senior Applied Scientist, you will work on secure, scalable, and innovative AI solutions utilizing advanced techniques in computer vision and GenAI technologies. Key Responsibilities: - Develop advanced AI models and algorithms, particularly in large language model, large multimodal, computer vision, and foundational models. - Design, implement, and test critical features of AI services ensuring correctness, high availability, scalability, and cost-effectiveness. - Advocate best practices for testing, benchmarking, and model validation to ensure reliability and performance. - Analyze ML models, optimize for accuracy and latency, and handle large-scale training and production deployment. - Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. - Implement machine learning algorithms from scratch to production, work with complex data sets, and proactively address technical issues. - Collaborate with product managers, engineering leads, and data teams to define requirements and ensure data quality. - Leverage Oracle Cloud technology to develop best-in-class computer vision solutions for Oracle's business domain at scale. Preferred Qualifications: - Ph.D. or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field. - Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. - Strong foundation in deep learning architectures like CNNs, transformers, diffusion models, and multimodal models. - Proficiency in high-level languages such as Python, Java, or C++, and experience in ML algorithm design and production deployment. - Familiarity with working in cloud environments like Oracle Cloud (OCI), AWS, GCP, or Azure, and Agile development processes. - Strong problem-solving skills, a drive to learn new technologies, and an ability to thrive in a fast-paced work environment. This role offers an opportunity to contribute to cutting-edge AI solutions, collaborate with cross-functional teams, and drive innovation in the field of computer vision.,

You are a full-time Computer Vision Developer based in Gurugram, responsible for designing, developing, and optimizing computer vision pipelines and algorithms for real-time applications. Your role includes working on object detection, tracking, OCR, and edge AI deployment. You will collaborate closely with cross-functional teams to integrate vision models into embedded systems and smart devices, contributing to the development of AI-powered products from prototype to production. Your key responsibilities will involve developing and implementing computer vision algorithms, optimizing models for real-time inference on edge devices, preprocessing and annotating image/video datasets for training and validation, training, fine-tuning, and evaluating deep learning models using frameworks like PyTorch or TensorFlow. You will also integrate models into production pipelines, conduct research on state-of-the-art vision techniques, debug, profile, and optimize performance for low-latency deployments, and collaborate across software, hardware, and product teams for end-to-end solution delivery. Qualifications for this role include strong hands-on experience in computer vision, proficiency with deep learning frameworks like PyTorch, TensorFlow, ONNX, experience with pattern recognition, object detection, segmentation, or OCR, familiarity with embedded systems, NVIDIA Jetson, or ARM-based platforms, solid understanding of image processing, linear algebra, and optimization techniques, experience with data annotation tools like LabelImg, CVAT, Roboflow, strong problem-solving and debugging skills, and a Bachelors or Masters degree in Computer Science, AI, or related fields. Bonus qualifications include experience with real-time video processing, GStreamer, or edge model quantization.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

Visionify is dedicated to leveraging the potential of Computer Vision and AI for various real-world applications. We are currently seeking a highly skilled, motivated, and enthusiastic Senior Computer Vision Engineer to play a crucial role in implementing our strategic plans. As a Senior Computer Vision Engineer at Visionify, you will be tasked with tackling cutting-edge challenges in the realm of Computer Vision by devising innovative algorithms and optimizations. The majority of our projects revolve around practical applications of Computer Vision, necessitating a strong grasp of contemporary model types such as Classification, Object detection, Object Recognition, OCR, LayoutML, and GAN networks. Proficiency in Pytorch is essential for this role, as it serves as our primary programming language. Familiarity with Azure and Azure ML Studio would be advantageous. Candidates applying for this position should remain abreast of the latest advancements and actively contribute to enhancing the Pytorch project's performance and accuracy. Your expertise in PyTorch and its underlying mechanisms will be pivotal in resolving customer challenges and offering valuable insights into product improvements. Experience in optimizing and streamlining models for deployment on edge devices, as well as converting models to NVIDIA TensorRT, will be highly valued. A strong foundation in Python programming is indispensable, given its widespread use in our organization for developing training and inference pipelines. Effective communication and presentation skills are also crucial. The ideal candidate will exhibit a deep passion for artificial intelligence and a commitment to staying updated on industry trends. **Responsibilities:** - Understanding business objectives and devising Computer Vision solutions that align with these goals, including developing training and inference frameworks and leveraging various ML technologies. - Building and optimizing Pytorch models for different runtime environments, including NVIDIA Jetson TensorRT. - Guiding the development team, addressing their queries, and facilitating the timely completion of their tasks. - Creating ML/Computer Vision algorithms to address specific challenges. - Analyzing and visualizing data to identify potential performance-affecting disparities in data distribution, especially when deploying models in real-world scenarios. - Establishing processes for core team operations, such as data acquisition, model training, and prototype development. - Identifying and utilizing open-source datasets for prototype building. - Developing pipelines for data processing, augmentation, training, inference, and active retraining. - Training models, fine-tuning hyperparameters, and devising strategies to address model errors. - Deploying models for production use. **Requirements:** - Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or a related field. - Minimum of 5 years of relevant experience; candidates with exceptional skills but less experience are encouraged to apply. - Industry experience in Image & Video Processing, including familiarity with OpenCV, GStreamer, TensorFlow, PyTorch, TensorRT, and various model training/inference techniques. - Proficiency in deep learning classification models (e.g., ResNet, Inception, VGG) and object detection models (e.g., MobileNetSSD, Yolo, FastRCNN, MaskRCNN). - Strong command of Pytorch, Torchvision, and the ability to develop training routines and update models effectively. - Familiarity with Colab, Jupyter Notebook, CUDA/GPU, and CNN visualization techniques like CAM and GradCAM. - Expertise in Computer Vision and real-time video processing methods. - Proficient in Python programming and adept at writing reusable code. - Experience with OpenCV, Scikit packages, NVIDIA platform tools (e.g., Deepstream, TensorRT), Python web frameworks (e.g., Flask, Django, FastAPI), and ML platforms (e.g., PyTorch, TensorFlow). - Knowledge of AWS SageMaker, various databases (e.g., Elasticsearch, SQL, NoSQL, Hive), cloud environments (preferably AWS) for software development, GPU-based training infrastructures, Docker, and DevOps and MLOps best practices for ML systems. **Desired Traits:** - Collaborative mindset and ability to thrive in a team environment. - Adaptability to evolving requirements. - Proclivity for innovative problem-solving. - Strong focus on work quality and developing robust code.,

CONXAI's AI platform analyzes construction data to deliver insights and automate workflows. The No-Code Agentic AI offered by CONXAI helps construction firms enhance project control and prevent knowledge loss. As a full-time intern in our team, you will be involved in addressing cutting-edge computer vision and deep learning challenges in product development. Your main responsibilities will include collaborating with the team to understand and solve computer vision/deep learning problems, developing and implementing ML solutions which involve data preprocessing, model design, and performance evaluation, integrating solutions into the codebase using strong software engineering practices, and effectively communicating results and analysis. To be successful in this role, you should be pursuing (or have completed) a PhD/Master's degree in Computer Science from the IITs or another Tier 1 university. You should have experience in training and evaluating Deep Learning models in PyTorch and specifically ViTs, a good understanding of basics in machine learning and computer vision, including representation learning. Additionally, experience in training and fine-tuning Deep Learning architectures for tasks such as Object Detection, Instance Segmentation, Image Captioning, Temporal activity detection, and Large Vision Language Models is required. Knowledge of Unsupervised Learning and Active Learning is also beneficial. Proficiency in Python and good software engineering skills are essential for this role. You should possess good communication and interpersonal skills, be able to work in a team-oriented environment, have strong problem-solving skills, and be fluent in English. This internship offers a unique opportunity to apply your academic knowledge and skills in real-world applications, collaborate with experts, and continue learning and growing in the field of computer vision and deep learning.,

You will be joining a pioneering AI team where you will be responsible for designing and deploying cutting-edge deep learning solutions for computer vision and audio analysis. Your main tasks will include designing, developing, and optimizing deep learning models for image/video analysis (object detection, segmentation) and audio classification tasks. You will work with CNN architectures, Vision Transformers (ViT, Swin), and attention mechanisms (SE, CBAM, self/cross-attention) to address complex real-world challenges. In this role, you will process multi-modal data including video and audio. For video, you will apply spatiotemporal modeling (3D CNNs, temporal attention), while for audio, you will extract features (spectrograms, MFCCs) and build classification pipelines. You will also utilize pretrained models through transfer learning and multi-task learning frameworks, and optimize models for accuracy, speed, and robustness using PyTorch/TensorFlow. Collaboration with MLOps teams to deploy solutions into production is a key aspect of this role. Your required skills include advanced programming in Python (PyTorch/TensorFlow), expertise in computer vision concepts such as Vision Transformers, object detection techniques (YOLO, SSD, Faster R-CNN, DETR), and video analysis methods including temporal modeling. Additionally, you should have experience in audio processing, attention mechanisms, transfer learning, and training strategies. Experience in handling large-scale datasets and building data pipelines is also essential. Preferred qualifications for this role include exposure to multi-modal learning, familiarity with R for statistical analysis, and a background in publications or projects related to computer vision or machine learning conferences such as CVPR, NeurIPS, ICML. Please note that this position is for a client of Hubnex Labs, and selected candidates will work directly with the client's AI team while representing Hubnex.,

You are a dynamic and solution-driven Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) with a strong foundation in designing and developing advanced systems for video data processing and analysis. You excel in creating innovative solutions by leveraging computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. As a Computer Vision Engineer at our organization, you will play a critical role in the entire lifecycle of our products, from ideation to development, production, and deployment. You will be a part of our internal Computer Vision/Video Analytics team, which specializes in applied research and is central to the perception algorithms deployed across our products. Your responsibilities will include leading and mentoring a team of engineers, collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow, integrating video analytics solutions with existing systems or platforms, executing AI algorithms using various platform-specific frameworks, troubleshooting issues, providing technical support during integration and deployment phases, and researching new technologies and methodologies to enhance video analytics capabilities. To be successful in this role, you should have a minimum of 2 years of experience and hold a qualification in B.E/B.tech/M.E/M.tech (EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE) or a related field. You must possess good experience in Deep Learning/Computer Vision projects, working exposure with Neural networks, CNN, and experience with deep learning frameworks such as Tensorflow, PyTorch, or Keras. Additionally, having programming skills using Python and C++, exposure to projects like Object Detection/Motion Detection/Face Recognition, and experience optimizing deep learning models for embedded form factors would be advantageous. You should also have a superhuman thirst for learning and be proactive in scouting for ideas and keeping up-to-date with advancements in the field. Join our team of like-minded engineers, applied researchers, and technocrats who share the will, courage, and madness to achieve our mission of designing, developing, and manufacturing world-class technology products for customers worldwide, right from India. If you are an innovative and tech-savvy individual looking for a challenging and rewarding environment, apply now to be part of our incredible journey!,

Responsibilities: * Implement multithreaded solutions using Asyncio. * Develop scalable Python script with NumPy, TensorFlow & Deep Learning. * Create object ID & face ID with real time analytics via raw image

We're hiring an experienced AI/ML Model Engineer to develop computer vision & AI-CAD solutions for enterprise clients. Work with U.S.-based teams to build & deploy scalable ML models. Requires 5+ yrs in ML, Python, TensorFlow/PyTorch & CAD expertise. Required Candidate profile ML engineer with 5+ years in computer vision and AI-driven CAD. Skilled in Python, TensorFlow, PyTorch, OpenCV. Delivers production models. Self-driven, team-oriented, thrives in fast-paced roles.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Infilect, a leader in visual-intelligence for worldwide retail, is looking for candidates with engineering and deep learning experience of at least 2 years in the industry About Infilect: Infilect is founded by two PhDs and ex-IBM-Research-Scientists to build scalable visual-AI systems to make the world a better place. Infilect (https://www.infilect.com) builds state of the art cloud and AI applications for the worldwide retail industry. We process images and videos at scale and in real-time in order to solve retail supply-chain problems, and make an environmentally sustainable net-positive impact on the world. We are driven by the promise of AI and software technology to save time, save cost, save energy, and improve user experience for businesses and consumers all over the world. Responsibilities: Reading research papers and implementing state-of-the-art techniques Rapidly extending publicly available code modules to work on custom problems Software development of machine learning back-end Rapid experimentation, analysis, and deployment of machine/deep learning models Training and testing deep learning models at scale Working on cutting-edge technology in object detection, object tracking, OCR in natural scenes, image classification, video analysis, and many more exciting techniques that form the basis of AI (artificial intelligence). Skills Required: Hands-on experience in deep/machine learning for computer vision of 2+ years (extensive experience OpenCV, PyTorch, Tensorflow) Hands-on experience in Python with 2+ years of in-depth system building experience Smart programmers with strong analytical skills Job Perks: Work on a problem that will have positive impact on millions of users Work with experienced computer scientists Lively and highly collaborative environment We offer a competitive salary, commission structure, and benefits package, as well as a dynamic and fast-paced work environment. We are an early-stage startup, and it implies putting your heart out to connect with customers and team members, solve hard & challenging problems, and build & maintain scalable systems. We are also quite conscious to build a highly collaborative & rich culture at Infilect. From 50 today, we expect to be 200 team member strong team in the next 2 years, serving global customers. If this interests you, come and join us on the rocket ship! Infilect as an Equal Opportunity Employer - We do not discriminate based on race, color, gender, religion, national origin, ancestry, age, disability, medical condition, genetic information, military & veteran status, marital status, pregnancy, gender identity, sexual orientation, or any other characteristics protected by local laws, regulations, and ordinance. We also make reasonable accommodations for disabled employees and applicants as required by law. We follow these principles in all areas of employment including recruitment, training, promotions, compensation, benefits, transfer, and social and recreational programs.

Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,

As an Analytics Engineer, you will be responsible for developing and optimizing AI and machine learning models for image understanding and analytics. Your role will involve implementing computer vision techniques for 3D data processing, conducting research and innovation in AI applications, integrating AI-based analytics into software solutions, and collaborating with cross-functional teams while providing mentorship and expertise. In this role, you will develop and optimize deep learning models for object detection, semantic segmentation, and classification. You will apply machine learning algorithms to large-scale 2D/3D datasets for image understanding and analytics. Additionally, you will train, validate, and improve AI models using TensorFlow, PyTorch, Caffe, OpenCV, and PCL. You will design and implement computer vision techniques for 3D reconstruction, photogrammetry, and point cloud analytics. Developing algorithms for geospatial data processing, projective geometry, and deep learning on 3D data will be part of your responsibilities. Furthermore, you will optimize computational efficiency for handling large-scale 3D datasets. Staying updated on the latest advancements in AI, computer vision, and machine learning will be essential in this role. You will participate in internal and publicly funded research projects to enhance AI-based analytics for linear infrastructures and transfer academic research findings into real-world AI applications. Extending and integrating AI-based analytics into existing software solutions will be a key aspect of your role. You will develop production-ready implementations using Python, C/C++, and Matlab in a Linux environment, ensuring scalability, performance, and reliability of deployed AI/ML models. Collaborating closely with cross-functional teams, including data scientists, software engineers, and domain experts, will be crucial. You will provide expertise in reviewing scientific literature and algorithm development while also mentoring junior team members. To be successful in this role, you should have a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field. You should possess 5+ years of research experience in deep learning, machine learning, or related areas, focusing on developing and scaling innovative AI solutions. Strong programming skills in Python, C/C++, and Matlab are required, along with proven experience in AI and machine learning, particularly in computer vision and 3D data processing. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, experience with large-scale data processing and optimization techniques, and knowledge of geospatial data processing and projective geometry are also necessary. Strong communication skills and the ability to mentor junior team members will be beneficial in this role.,

We are seeking talented individuals with strong technical expertise in building web-based applications and team-leading ability to join us. Come work with talented engineers, data scientists, and thought leaders from India's leading colleges. You will have the opportunity to work closely with business leaders and founders, make valuable contributions, and learn from each other. Our company offers an awesome work culture with supportive colleagues. Minimum 1+ years of experience in a data science or analytics role is required, with a focus on machine learning and data analysis. You should have practical experience in developing and implementing machine learning models, particularly in the field of image analysis or computer vision. Familiarity with working on image data sets, data pre-processing, feature extraction, and model evaluation techniques is essential. Experience or exposure to medical imaging would be highly beneficial. Educational Qualification: You should hold a Bachelors or a Masters (preferred) degree in relevant fields such as Computer Science, Data Science, or a related discipline. Skillset required: You are expected to have proficiency in machine learning techniques for image analysis and computer vision. Strong programming skills in Python, along with experience in relevant libraries and frameworks like TensorFlow, PyTorch, etc., are necessary. Knowledge of data pre-processing, feature engineering, and statistical analysis methods for image data is important. Experience with deep learning architectures and model training for image recognition, object detection, or segmentation is desired. Excellent problem-solving and communication skills, with the ability to collaborate effectively in cross-functional teams, are key attributes. Role and responsibility: As part of the role, you will develop and implement machine learning models for image analysis and computer vision tasks. Your responsibilities will include collecting, cleaning, and pre-processing image data for analysis. You will collaborate with teams to define project objectives and requirements for image AI solutions, evaluate and optimize image AI model performance, and assist in system development. Effective communication of findings and contribution to ongoing projects and research initiatives are expected. Workdays: Monday to Friday Compensation: As per market standards for Work Experience and knowledge. Work Location: Pune Only those candidates apply, who are ok to work from our Pune office, though due to COVID, currently, we are working from home and soon plan to start Work from Office.,