Python Developer with Data Structure

Infosys is seeking a Python Developer, skilled in Data Structure. The ideal candidate will have a strong background in designing and deploying Machine Learning models using Python. This role involves working closely with clients to understand the issues they face, diagnosing problems, designing solutions, and facilitating solution deployment on Cloud Platforms. The candidate will have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. The role requires the ability to understand the problem and arrive at multiple solution alternatives while considering various stakeholders and assessing the pros and cons of all alternatives to arrive at the optimal solution. The candidate should possess at least 4 years of experience in Information Technology, with a minimum of 3 years as a Core Python Developer, focusing on Data Structures, Stacks, Queues, Linked Lists, and OOP concepts. Additionally, the candidate should have experience in creating large-scale data processing pipelines to help developers build and train novel machine learning algorithms. The role also requires at least 3 years of experience in developing, testing, and maintaining high-quality software using Python, as well as experience with Cloud platforms such as GCP and Azure and their AI services. Furthermore, the candidate should have at least 2 years of experience in developing ML, NLP, and Deep Learning models, along with experience in working with Derivatives and Capital Markets. The position is onsite, and candidates must live within commuting distance of Richmond, VA, Jersey City, NJ, Jacksonville, FL, or Charlotte, NC, or be willing to relocate. Travel within the US may be required, and the job may entail extensive travel. Candidates should be prepared for sitting and working at a computer for extended periods and must be able to effectively communicate by telephone, email, and face-to-face interactions.