As a Salesforce Technical Lead based in Mumbai, you will play a crucial role in translating business requirements into scalable and customized solutions on the Salesforce platform. With a minimum of 5 years of experience in Salesforce and a total of 8+ years in IT, you will lead technical design sessions, document architectural decisions, and design, develop, and deploy custom components using Apex, LWC, and Visualforce. Your responsibilities will include managing integrations through REST/SOAP APIs, overseeing data migrations using middleware, ensuring best practices in secure coding and high code quality, and mentoring developers, consultants, and analysts. As a Technical Lead, you will participate in staffing, reviews, and career development for team members, collaborate with solution architects in client workshops, and contribute to internal accelerators and reusable frameworks. To excel in this role, you must possess strong integration experience, code review skills, and the ability to manage distributed teams. Your communication and stakeholder engagement skills will be critical in driving successful Salesforce implementations. Additionally, you should hold certifications such as Salesforce Admin, Platform Developer I & II, Sales Cloud, and Service Cloud, with experience in Salesforce Flows and Aura framework. Preferred skills include Salesforce Application or System Architect certification, familiarity with Manufacturing Cloud, Health Cloud, Commerce Cloud, and Field Service, as well as knowledge of MuleSoft or Dell Boomi. Domain exposure to medical equipment or manufacturing is advantageous. This is a full-time position that requires immediate joiners within 1 week. The work mode is from the office with a day shift schedule from Monday to Friday. If you have a notice period of 1 week and meet the experience requirements, we encourage you to apply for this exciting opportunity. Please reach out to the employer at +91 6207455100 for further discussions regarding the role.,
As a Computer Vision Engineer at our company located in S.G. Highway, Gota, Ahmedabad, you will be responsible for developing, training, and optimizing computer vision models for various applications. This includes tasks such as object detection, segmentation, classification, and image generation. Your role will involve researching the latest advancements in computer vision, deep learning, and image processing techniques to enhance model performance. You will work with image and video datasets, performing data preprocessing, augmentation, and analysis. It will be essential to implement and fine-tune state-of-the-art deep learning architectures like CNNs (ResNet, EfficientNet), Vision Transformers (ViTs), and GANs using frameworks such as TensorFlow, PyTorch, and OpenCV. In addition to deep learning models, you will utilize classical computer vision techniques like feature extraction and edge detection. You will also explore and implement foundation models in vision, including CLIP, DINO, SAM, and Diffusion Models for cutting-edge applications. Collaboration with cross-functional teams is crucial in defining use cases, evaluating model performance, and refining approaches for better accuracy and efficiency. You will be required to document research findings, model performance metrics, and key insights for internal reports and presentations. To excel in this role, you should have a basic knowledge of AI/ML concepts, strong understanding of computer vision fundamentals, proficiency in programming languages like Python, and experience with libraries such as OpenCV, TensorFlow, and PyTorch. Familiarity with deep learning models, data handling, mathematical proficiency, model optimization techniques, deployment & integration, problem-solving abilities, team collaboration, and eagerness to learn are essential skills required for this position. This is a full-time job opportunity with benefits such as Provident Fund, day shift schedule, and performance bonus. The ideal candidate should have 1 to 3 years of relevant work experience in computer vision. If you are passionate about AI, deep learning, and computer vision, and have a drive to stay updated with the latest research and industry advancements, we encourage you to apply for this position.,