14 Image Segmentation Jobs

We are looking for an AI Developer specializing in Gen AI Deep Learning and NLP to join our team and contribute to the development of AI-powered applications. As an AI intern with expertise in point cloud, you will collaborate closely with our development team to explore, devise, and execute AI algorithms for point cloud data processing and analysis. Your responsibilities will include developing and deploying cutting-edge models in Computer Vision, Deep Learning, NLP, and Gen-AI for various organizational applications. You will be engaged in advanced data pre-processing, cleaning, and extraction for diverse data types such as images, texts, and genomic data. Working alongside multidisciplinary teams, you will craft AI-driven solutions tailored to meet the business requirements. Additionally, you will be responsible for architecting and overseeing machine learning pipelines for a range of AI tasks, continuously refining and optimizing models to ensure peak performance and scalability. To excel in this role, you must stay abreast of the latest advancements in AI, Computer Vision, NLP, and GENAI research and adeptly translate these innovations into practical solutions. Furthermore, you will be expected to deliver impactful data visualizations and insights to stakeholders, mentor junior data scientists, and uphold a culture of excellence and collaboration within the team. Rigorous documentation of research, methodologies, and insights is essential to foster knowledge growth within the team, along with championing best practices and standards across AI domains within the company. Requirements: - Bachelor's or Master's degree in Computer Science or related fields. - At least 2 years of hands-on experience in AI disciplines, with a focus on deep learning techniques. - Proficiency in programming languages like Python and familiarity with AI libraries such as TensorFlow, PyTorch, and sci-kit-learn. - Comprehensive understanding of NLP techniques (e.g., LLMs, Chatbots), Computer Vision (e.g., object detection, image segmentation, Image generation), and generative AI. - Experience with cutting-edge NLP, computer vision, deep learning, and relevant generative AI models. - Strong grasp of ML methodologies, statistical analyses, and data interpretation. - Ability to handle and process large datasets, with expertise in data pre-processing and transformation. - Exceptional problem-solving skills, thriving in both independent and collaborative environments. - Proficient communication skills, capable of explaining complex technical details to diverse audiences. - Demonstrated track record of deploying AI solutions to solve tangible business challenges. If you meet all the specified requirements, we encourage you to apply for this exciting opportunity.,

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.

As a Machine Learning Engineer, you will be responsible for leveraging your hands-on knowledge of Python, Tensorflow, PyTorch, Keras, and Django to develop cutting-edge solutions. Your expertise in writing Neural Networks, Convolutional Neural Networks, GANs, and other deep learning models will be crucial in interpreting data and presenting key insights effectively. In this role, you will apply your knowledge of Deep Learning algorithms, Generative AI, Computer Vision, Object detection, and Image Segmentation to create innovative solutions. Proficiency in Python and experience working on both Windows and Linux operating systems will be essential for success in this position. This is a full-time position that offers a range of benefits including health insurance, paid sick time, and Provident Fund. The job entails a day shift schedule from Monday to Friday with weekend availability as needed. Additionally, there is a yearly bonus structure in place for eligible employees. The ideal candidate will have at least 1 year of relevant work experience and should be prepared to work in person at the designated location. If you are passionate about machine learning and eager to contribute to impactful projects, this role offers a rewarding opportunity to apply your skills and knowledge.,

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. Sutherland has been helping customers across industries from financial services to healthcare achieve greater agility through transformed and automated customer experiences for over 30+ years. We are currently looking for a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should possess a strong foundation in ML and AI principles, along with a proven track record of developing and deploying a minimum of 20+ models in these domains. If you are interested in this opportunity, please reach out to us at arshi.sheikh@sutherlandglobal.com. **Responsibilities:** - Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct thorough data analysis, pre-processing, and feature engineering to extract meaningful insights from structured and unstructured data. - Design and implement scalable and efficient machine learning pipelines for training, evaluation, and inference. - Experiment with various deep learning architectures, hyperparameters, and optimization techniques to improve model performance. - Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain. - Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability. - Perform rigorous testing and validation of models to ensure their accuracy, reliability, and generalization capability. - Continuously monitor and maintain deployed models, and implement necessary updates and enhancements as required. - Document code, methodologies, and findings effectively, and contribute to internal knowledge sharing initiatives. **Qualifications:** - Bachelor's/Masters/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field. - Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques. - Proficiency in programming languages such as Python, along with experience in popular ML libraries like TensorFlow, PyTorch, or scikit-learn. - Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks with a demonstrable portfolio of projects. - Solid understanding of natural language processing techniques (text classification, sentiment analysis, named entity recognition, etc.). - Familiarity with computer vision concepts (image classification, object detection, image segmentation, etc.) and experience with frameworks like OpenCV or TensorFlow. - Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) is a plus. - Excellent problem-solving skills, attention to detail, and ability to work both independently and as part of a team. - Strong communication and interpersonal skills, with the capability to collaborate effectively with stakeholders across different functional areas. Join us in revolutionizing the way Sutherland harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.,

Core Responsibilities Model development Build and fine-tune image classification, detection, segmentation, OCR, and cross-modal retrieval pipelines in PyTorch or TensorFlow. Vision-language research transfer Re-implement recent conference papers; run ablation studies; compare checkpoints on COCO, LVIS, and internal datasets. Training and evaluation Write efficient trainers, manage experiment tracking (Weights & Biases / MLflow), and track metrics such as mAP, BLEU, CIDEr. Deployment Package models for REST and on-device endpoints (TorchScript, TensorRT); measure latency, memory, and accuracy. Code quality & collaboration Maintain clean repositories, contribute to design reviews, and present findings to non-AI colleagues and clients. Ethics & security Flag dataset bias, ensure privacy compliance, and document model limitations. Minimum Requirements Area Expectation Education B.Tech / M.Tech in CS, or related field. Python expertise 3+ years building deep-learning pipelines; solid OOP and unit testing. Frameworks PyTorch (preferred) or TensorFlow; OpenCV; experience with Hugging Face or similar libraries. Vision-language Hands-on with at least one of CLIP, BLIP, Segment-Anything, Detic, LLaVA, or similar. Tools Git, Docker, Linux, CUDA; basic CI/CD. Soft skills Clear written and spoken English; able to translate technical results into client-friendly summaries.

Join the leader in entertainment innovation and help design the future at Dolby, where science meets art and high tech goes beyond computer code. As a member of the Dolby team, you will witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks top talent. The company is large enough to provide all necessary resources yet small enough for you to make a significant difference and receive recognition for your contributions. Enjoy a collegial culture, stimulating projects, competitive compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work environment, schedule, and methods. Dolby's research division is seeking a researcher to join efforts in developing the next generation of AI-based multimodal technologies. The successful candidate will collaborate with Dolby's esteemed audio and vision experts to innovate multimedia analysis, processing, and rendering technologies for enhanced interactive and immersive experiences. As a part of an international team, you will explore new horizons in multimodal processing, analysis, and interactivity, responsible for conducting groundbreaking research, technology transfer, and patent application drafting. Dolby's research division is currently hiring a motivated researcher to advance multimedia technologies. An ideal candidate will possess expertise in HCI and deep learning, with the ability to stay updated with current literature, implement, and innovate. Knowledge or experience in human-computer interaction, generative models, self-supervised learning, audio, image, or text applications, as well as latent space techniques are beneficial for this role. Key Responsibilities: - Develop prototypes for multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to execute Dolby's technical strategy in AI and machine learning. - Utilize deep learning to innovate and improve applications. - Contribute to advancing the state-of-the-art and creating intellectual property. - Transfer technology to product groups and prepare patent applications. - Provide insights on recent deep learning advancements to influence research and business decisions. Requirements: - Ph.D. in computer science or related field, emphasizing deep learning with knowledge in audio, video, 3D, or text processing. - Strong publication record in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Creativity and ability to envision and develop innovative products. - Excellent communication skills.,

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, youll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. Were big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. Dolbys research division is looking for a researcher to join Dolbys research efforts to develop the next generation of AI based multimodal technologies. The candidate will work with Dolbys world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies to drive new interactive and immersive experiences. As a part of an international team, the candidate will work on ideas exploring new horizons in multimodal processing, analysis, and interactivity. The researcher is responsible for performing fundamental new research, transferring technology to product groups, and drafting patent applications. Summary Dolbys research division is currently looking for a talented, self-motivated researcher to push the boundaries of the state-of-the-art in multi-media technologies. An ideal candidate would have a strong background in HCI and deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate. Consequently, knowledge or experience in any/all the following are helpful: Human-computer interaction techniques and application of deep learning to this area Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Latent space exploration, navigation, control and alignment techniques The role will involve prototyping inspiring experiences that explore a complement of modalities. These technologies will be used to extend immersion and interaction, the candidate should be willing to explore empirical refinement of the user experience. The ideal candidate has experience in developing real-time applications delivering multi-modal experiences and/or human-computer interfaces with generative AI involvement. Main responsibilities: Prototype and demonstrate multimodal, interactive and immersive user experiences. Work closely with other domain experts to refine and execute Dolbys technical strategy in artificial intelligence and machine learning. Use deep learning to create new solutions and enhance existing applications. Push the state-of-the-art and develop intellectual property. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Requirements: Ph.D. in computer science or similar, with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. Strong publication record, with publications in top domain-specific or general machine learning conferences e.g., ACM CHI, NeurIPS, ICLR, ICML, ACL, CVPR, ICASSP. Good knowledge about current machine learning literature. Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). Ability to envision new technologies and turn them into innovative products, Creativity. Good communication skills. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding. Show more Show less

About Biz-Tech Analytics At Biz-Tech Analytics, we specialize in developing production-grade computer vision and AI-driven automation solutions. Our focus is on transforming complex data into actionable insights through scalable AI infrastructure. We are currently seeking Junior Machine Learning Engineers (Computer Vision) who are enthusiastic about tackling real-world challenges, building scalable AI pipelines, and evolving into future technical leaders. Responsibilities As a Junior Machine Learning Engineer, you will collaborate closely with senior engineers to contribute to the design, development, and deployment of Computer Vision models that drive AI automation solutions. Your responsibilities will include assisting in the development and deployment of Computer Vision models for various applications such as object detection, tracking, segmentation, and visual inspections. Additionally, you will be involved in working on image and video data pipelines, encompassing tasks such as data preprocessing, augmentation, and annotation workflows. You will also play a crucial role in model training, evaluation, and optimization to ensure that the models meet performance benchmarks for accuracy and speed. Furthermore, you will collaborate with senior engineers on deploying models to edge/cloud environments and be involved in researching and implementing new Computer Vision techniques. Participation in code reviews, internal discussions, and brainstorming sessions will provide you with exposure to best practices for developing production-grade AI systems. Taking ownership of smaller modules and tasks within larger AI solution projects will be essential to ensure timely and high-quality project delivery. Qualifications The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or a related field from a reputable institution. A minimum of 2 years of experience (including internships or projects) working with Machine Learning or Computer Vision is required. Proficiency in Python programming is essential, along with hands-on experience with PyTorch or TensorFlow, OpenCV, and relevant Computer Vision libraries gained through internships, academic projects, or competitions. A strong understanding of Computer Vision fundamentals such as object detection, image segmentation, tracking, and image processing is necessary. Familiarity with data preprocessing, augmentation, and basic model evaluation techniques is also expected. The candidate should possess a problem-solving mindset, a keen willingness to learn, and the ability to take ownership of tasks. The role requires the ability to work effectively in a fast-paced, collaborative environment, along with good communication and documentation skills. Good to Have Experience with vision-based automation in the manufacturing industry, exposure to Generative AI workflows, and familiarity with Large Language Models (LLMs) and building multi-modal AI pipelines are advantageous. An understanding of AI governance, data compliance, and security protocols would also be beneficial. Apply here: https://forms.gle/oiC1DfbaWVXuv8t18 Why Biz-Tech Analytics Join us at Biz-Tech Analytics to work on challenging AI problems that require innovative solutions rather than routine approaches. You will have the opportunity to lead end-to-end AI projects with full ownership and collaborate with a small, high-performing team where your contributions are visible and impactful. Our flexible, entrepreneurial work culture provides opportunities for leadership and growth.,

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an enterprise scale and are skilled in data preprocessing, feature engineering, and handling large-scale data. Your expertise extends to image and video processing, object detection, image segmentation, and other computer vision tasks. In addition, you have proficiency in text analysis, sentiment analysis, language modeling, and various NLP applications. You also have experience in speech recognition, audio classification, and signal processing techniques. Your knowledge includes RAG, VectorDB, GraphDB, and Knowledge Graphs. You have extensive experience working with major cloud platforms such as AWS, Azure, and GCP for AI/ML deployments, and integrating cloud-based AI services and tools like AWS SageMaker, Azure ML, and Google Cloud AI. As for soft skills, you exhibit strong leadership and team management abilities, excellent verbal and written communication skills, strategic thinking, problem-solving capabilities, adaptability to the evolving AI/ML landscape, collaboration skills, and the capacity to translate market requirements into technological solutions. Moreover, you have a deep understanding of industry dynamics and a demonstrated ability to foster innovation and creative problem-solving within a team.,

Join the leader in entertainment innovation and help design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the necessary resources and small enough for individuals to make a real difference and receive recognition for their work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support individuals in doing their best work, wherever, whenever, and however they prefer. Dolby's research division is currently seeking a researcher to contribute to the development of the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's renowned audio and vision experts to create new multimedia analysis, processing, and rendering technologies that will drive innovative interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The role involves conducting fundamental research, transferring technology to product groups, and preparing patent applications. The ideal candidate for this role should possess a strong background in Human-Computer Interaction (HCI) and deep learning, with both conceptual understanding and practical experience. Keeping up to date with the latest literature, implementing, and innovating are essential aspects of this position. Knowledge or experience in areas such as human-computer interaction techniques, generative models, self-supervised learning, audio, image, or text applications, and latent space exploration are beneficial. The candidate will prototype inspiring experiences combining different modalities to enhance immersion and interaction, focusing on empirical refinement of the user experience. Experience in developing real-time applications delivering multi-modal experiences and human-computer interfaces with generative AI involvement is preferred. Responsibilities: - Prototype and showcase multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to develop new solutions and improve existing applications. - Drive the state-of-the-art and contribute to intellectual property development. - Transfer technology to product groups and draft patent applications. - Provide insights to internal leaders on recent deep learning advancements to influence research direction and business decisions. Requirements: - Ph.D. in computer science or related field, with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record, with publications in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Ability to conceptualize new technologies and transform them into innovative products. - Creativity and strong communication skills.,

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.,

As a Developer for our team based in Pune, you will be responsible for advancing the capabilities of our AI solutions through the application of predictive models. You should possess a strong background in AI and machine learning, with expertise in software development, mathematics, analytics, and effective communication. The ideal candidate will have a minimum of 2 to 6 years of experience in the field, with a certification in Machine Learning being a desirable asset. Your responsibilities will include algorithm development, computer vision, image segmentation, image processing, 3D modeling, object detection, and the application of various machine learning techniques. To excel in this role, you must have a deep understanding of statistics and proven experience with machine learning algorithms. Proficiency in programming languages such as Python is essential, as well as familiarity with DL frameworks like Tensorflow and Torch. Your scientific expertise and practical knowledge of deep learning will be invaluable assets to our team. Previous experience in deploying machine learning models in a production environment, specifically on AWS or Azure cloud platforms, is highly preferred. Familiarity with the Anaconda Enterprise platform, Kubernetes, and GPU-accelerated deep learning models will be advantageous. If you are passionate about tackling complex analytical challenges and have a keen interest in leveraging AI technologies to solve real-world problems, we invite you to apply for this exciting opportunity.,

Core Responsibilities Model development Build and fine-tune image classification, detection, segmentation, OCR, and cross-modal retrieval pipelines in PyTorch or TensorFlow. Vision-language research transfer Re-implement recent conference papers; run ablation studies; compare checkpoints on COCO, LVIS, and internal datasets. Training and evaluation Write efficient trainers, manage experiment tracking (Weights & Biases / MLflow), and track metrics such as mAP, BLEU, CIDEr. Deployment Package models for REST and on-device endpoints (TorchScript, TensorRT); measure latency, memory, and accuracy. Code quality & collaboration Maintain clean repositories, contribute to design reviews, and present findings to non-AI colleagues and clients. Ethics & security Flag dataset bias, ensure privacy compliance, and document model limitations. Minimum Requirements Area Expectation Education B.Tech / M.Tech in CS, or related field. Python expertise 3+ years building deep-learning pipelines; solid OOP and unit testing. Frameworks PyTorch (preferred) or TensorFlow; OpenCV; experience with Hugging Face or similar libraries. Vision-language Hands-on with at least one of CLIP, BLIP, Segment-Anything, Detic, LLaVA, or similar. Tools Git, Docker, Linux, CUDA; basic CI/CD. Soft skills Clear written and spoken English; able to translate technical results into client-friendly summaries.

Job Summary: We are seeking a passionate and technically skilled AI / ML Engineer with 2+ years of hands-on experience in Computer Vision and Generative AI (GenAI). This role involves building and optimizing advanced visual intelligence systems leveraging PyTorch, OpenCV, transformers, and diffusion models. The ideal candidate will have experience in areas such as image segmentation, pose estimation, video inpainting, and synthetic data generation, along with exposure to LLM-prompt integration and datasets like DeepFashion2 and COCO. Key Responsibilities: Develop and deploy advanced computer vision models for tasks such as image segmentation, pose estimation, and video manipulation. Implement and experiment with Generative AI techniques, including diffusion models, GANs, and video inpainting. Leverage PyTorch, OpenCV, and modern deep learning frameworks to build scalable vision pipelines. Integrate LLM-based prompting into visual workflows and multimodal applications. Utilize datasets such as DeepFashion2, COCO, and custom synthetic datasets for model training and validation. Optimize model inference for performance, latency, and resource efficiency in production environments. Collaborate with data scientists, product engineers, and designers to deliver intelligent visual features in end-user applications. Qualifications: 2+ years of experience in machine learning and computer vision. Proficiency with PyTorch, OpenCV, and relevant deep learning libraries. Hands-on experience with image segmentation, pose estimation, or video-based vision tasks. Understanding of diffusion models, GANs, and transformer-based architectres. Knowledge of LLM prompt engineering and multimodal integration. Experience working with structured datasets like COCO and DeepFashion2. Strong debugging, analytical, and performance optimization skills. Preferred Qualifications : Experience in synthetic data generation and domain-specific data augmentation. Familiarity with model quantization, pruning, or other inference optimization techniques. Exposure to MLOps tools and cloud-based model deployment (e.g., AWS Sagemaker, GCP AI Platform). Contributions to open-source projects or published research in computer vision or generative models. Location: Pan- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai