Project Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.                                                                                                                                                                                                                        Must have skills : R-StudioGood to have skills : NAMinimum 7.5 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary: 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, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems, driving advancements in technology and enhancing user experiences. Roles & Responsibilities: - Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in R-Studio.- Good To Have Skills: Experience with Python and TensorFlow.- Strong understanding of machine learning algorithms and their applications.- Experience in deploying AI models in cloud environments.- Familiarity with data preprocessing and feature engineering techniques.

Project Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.                                                                                                                                                                                                                        Must have skills : R-StudioGood to have skills : NAMinimum 7.5 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary: 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, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems, driving advancements in technology and enhancing user experiences. Roles & Responsibilities: - Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in R-Studio.- Good To Have Skills: Experience with Python and TensorFlow.- Strong understanding of machine learning algorithms and their applications.- Experience in deploying AI models in cloud environments.- Familiarity with data preprocessing and feature engineering techniques.