Experience : 2+ year Key Responsibilities: Handle incoming customer calls professionally and courteously, adhering to company guidelines and standards. Actively listen to customer inquiries and concerns, demonstrating empathy and understanding while gathering the necessary information to address their needs effectively. Provide accurate and timely information about products & services to assist customers in making informed decisions. Identify and analyze customer issues, taking ownership of resolving problems through effective troubleshooting and collaboration with the concerned person. Manage customer accounts, update relevant information, and maintain accurate records of interactions in the CRM system. Follow processes and procedures to escalate complex issues when necessary, ensuring prompt resolution. Utilize active communication skills to educate customers on self-service options, online resources, and tools available to enhance their experience. Keep up-to-date with product knowledge and best practices to deliver accurate and up-to-date information to customers. Skill s: Proven experience in a customer service role, preferably in an international voice process .Exceptional verbal communication skills with fluency in English. Strong active listening skills and the ability to understand and address customer needs effectively .Excellent problem-solving skills, with the ability to think quickly and provide appropriate solutions .Patience, empathy, and the ability to remain calm under pressure. Familiarity with basic computer skills. Adaptability to changing processes and procedures in a dynamic work environment. Strong time management skills with the ability to handle a high volume of calls and prioritize tasks .Positive attitude, team player, and willingness to go the extra mile to exceed customer expectations .Flexibility to work night shifts, including, weekends, and holidays as required . Show more Show less

Experience: 2-4 years Location: S.G. Highway, Ahmedabad Send CV: hr@isummation.com Job Description: We are seeking a skilled AI Developer with 2–4 years of experience to join our dynamic team. The ideal candidate will have hands-on experience in training models over images and text, with a strong focus on Generative AI (GenAI) technologies. You will collaborate with cross-functional teams to develop and deploy AI solutions that drive innovation and enhance our product offerings. Key Responsibilities: Design, develop, and fine-tune AI models for image and text data, utilizing Generative AI techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models. Implement, train, and optimize deep learning models for Natural Language Processing (NLP), Computer Vision (CV), and multimodal AI tasks. Manage the end-to-end lifecycle of AI projects, including data collection, preprocessing, model training, evaluation, and deployment. Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into existing systems and products. Stay abreast of the latest advancements in AI research and apply innovative techniques to solve complex problems. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy in all AI solutions. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 2–4 years of hands-on experience in developing AI solutions, with a focus on Generative AI models. Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, and transformer architectures. Experience in preprocessing and augmenting large datasets for training AI models. Familiarity with cloud platforms (AWS, GCP, Azure) for model training and deployment. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Preferred Skills: Experience with Natural Language Processing (NLP) techniques and frameworks. Knowledge of MLOps practices and tools for continuous integration and deployment of AI models. Familiarity with ethical AI practices, including strategies for mitigating bias and ensuring responsible AI usage. Show more Show less