2 Yolo11 Jobs

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a talented and passionate AI/ML Engineer to join our founding team. In this role, you will be responsible for developing and deploying state-of-the-art computer vision models that will be integral to our marketplace platform. You will work closely with our engineering and product teams to create innovative solutions that enhance user interactions and streamline operations. Key Responsibilities: Develop and deploy advanced computer vision models to enhance platform capabilities. Developing and deploying ML models in production. Experience with generative models, video models, or multimodal models is a plus. Research, prototype, and implement new AI features using cutting-edge computer vision techniques. Optimize model performance for speed, accuracy, and scalability. Collaborate with cross-functional teams to translate customer requirements into AI features. Contribute to the technical vision and architecture of our AI systems. Stay up-to-date with the latest advancements in computer vision research and apply them to our products. Qualifications & Experience: Min 3 yrs experience in Image Recognition, Yolo11, OpenCV, Pytorch, Tensorflow, Python, Dataset At least one Product identification web project experience BE CS, IT, ECE, EEE, MCA Experience in Machine Learning (ML), with a particular emphasis on Computer Vision (CV) Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models Experience with TensorFlow, PyTorch or Keras Proficiency in Python is essential, especially with libraries such as NumPy, OpenCV, and scikit-image Experience with databases (SQL and NoSQL) for managing datasets. Understanding of APIs (REST, GraphQL) for connecting computer vision models with frontend or other backend services Knowledge of cloud services (AWS, Azure, Google Cloud) for deploying and managing models Experience with Docker and Kubernetes for containerization and deployment Understanding of software development best practices, version control (Git), and CI/CD pipelines. Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.

Job Title: AI / ML Engineer Company: Mukesh Buildtech (Stealth Startup) Work Location: Salem, Tamil Nadu About Us: Mukesh Buildtech is an innovative stealth startup focused on a new marketplace. We are building a cutting-edge platform that leverages advanced technologies to provide unparalleled user experiences. Join our dynamic team and be a part of our exciting journey from the ground up. If you're interested, please send your updated CV to sumathi@mukeshassociates.com. Role Overview: We are seeking a highly skilled Computer Vision & Machine Learning Engineer with expertise in AI-driven image recognition, object detection, and model deployment . The ideal candidate will have experience working with Stable Diffusion, SDXL, ControlNet, and LoRA models for advanced image generation, along with a solid background in TensorFlow, PyTorch, and OpenCV . You will be responsible for fine-tuning models, integrating AI-driven image-processing workflows, and deploying them at scale. Key Responsibilities: Develop and fine-tune Stable Diffusion, SDXL, ControlNet, LoRA models for computer vision applications. Implement inpainting, outpainting, and style transfer techniques to enhance image processing capabilities. Dynamically load LoRA adapters to optimize AI-generated content workflows. Deploy and maintain Inference APIs that trigger backend processes and return image blobs efficiently. Utilize Real-ESRGAN, SwinIR, and other upscaling models to improve image resolution and output quality. Integrate safety checkers to filter out NSFW/violent content within AI-generated images. Optimize GPU scheduling to ensure efficient routing of requests to available GPU workers. Implement model caching strategies to reduce unnecessary reloads and improve inference speed. Work with SQL and NoSQL databases to handle large-scale datasets for training and inference. Collaborate with cross-functional teams to develop and integrate AI models into production environments. Deploy models using cloud services (AWS, Azure, Google Cloud) and containerization tools such as Docker and Kubernetes . Maintain and improve CI/CD pipelines , version control ( Git ), and best practices for model deployment. Adapt pre-trained LLMs for image and product identification applications . Required Skills & Qualifications: 2+ years of experience in Computer Vision, Image Recognition, and Machine Learning . Proficiency in Python , including libraries such as NumPy, OpenCV, and scikit-image . Strong expertise with TensorFlow, PyTorch, or Keras for deep learning model development. Experience working on product identification projects or similar AI-driven applications. Hands-on experience with fine-tuning deep learning models for optimized performance. Understanding of REST and GraphQL APIs for backend AI model integration. Knowledge of database management (SQL & NoSQL) for dataset processing. Familiarity with cloud platforms (AWS, Azure, Google Cloud) for model deployment. Expertise in Docker & Kubernetes for scalable AI systems. Strong grasp of Git, CI/CD pipelines , and software development best practices . Why Join Us: Be a part of a pioneering team at the forefront of marketplace innovation. Work in a collaborative and dynamic environment with opportunities for growth. Contribute to a product that will have a significant impact on the industry.