Artificial Intelligence and Machine Learning Engineer

Role Overview: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on enhancing chatbot functionalities and image processing capabilities, ensuring that the applications meet high-quality standards and are optimized for performance and scalability. Key Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Qualifications Required: - Must To Have Skills: Proficiency in Generative AI. - Secondary skill (mandatory input): Full Stack Developer - Python / LLM / Gen AI. - Good To Have Skills: Experience with Python (Programming Language), Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud. - Familiarity with data preprocessing techniques and data augmentation methods. (Note: The job description does not include any additional details about the company.) Role Overview: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on enhancing chatbot functionalities and image processing capabilities, ensuring that the applications meet high-quality standards and are optimized for performance and scalability. Key Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Conduct thorough testing and validation of AI models to ensure accuracy and reliability. Qualifications Required: - Must To Have Skills: Proficiency in Generative AI. - Secondary skill (mandatory input): Full Stack Developer - Python / LLM / Gen AI. - Good To Have Skills: Experience with Python (Programming Language), Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud. - Familiarity with data preprocessing techniques and data augmentation methods. (Note: The job description does not include any additional details about the company.)