AI / ML Engineer

Job Description

Project Role : AI / ML Engineer Project 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 : Microsoft Azure Machine Learning Good to have skills : Microsoft Azure Architecture Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Additionally, you will apply GenAI models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing. Your role will contribute to the advancement of AI technology and its practical applications. 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. Develop applications and systems utilizing AI tools and Cloud AI services. Create a proper cloud or on-prem application pipeline with production-ready quality. Apply GenAI models as part of the solution. Utilize deep learning, neural networks, chatbots, and image processing in the development process. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft Azure Machine Learning. Good To Have Skills:Experience with Microsoft Azure Architecture. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Microsoft Azure Machine Learning. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education