Data science AI/ML Architect

Infosys is seekingData scienceAI/ML Architect Consultant. Candidate will be innovative and creative in data analysis, problem solving and presentation of solutions. Candidate will collaborate with engineering team to bring analytical prototypes to production. Candidate will analyze raw data: assessing quality, cleansing, structuring for downstream processing. Candidate will design accurate and scalable AI solutions. Candidate will be responsible for use-case derivation and solution creation from structured/unstructured data Candidate will be responsible for Storytelling, Business & stakeholder communication and Documentation Required Qualifications: • Candidate must be located within commuting distance ofPhoenix, AZ or Richardson, TXor be willing to relocate to the area. This position may require travel in the US • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 11 years of Information Technology experience. • A strong understanding of data analytics best practices, standards, and guidelines; and an experience with applying the same to produce high visibility AI solutions / products • Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms • Programming Skills: Python, Scikit-Learn, TensorFlow, PyTorch, matplotlib • Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms • Hypothesis definition, Model building, Hyperparameter tuning and Model performance metrics • Statistics Knowledge (Probability Distributions, Hypothesis Testing) • Platform exposure with one of the key AI Services Cloud providers with working knowledge of ML Services, AI Platforms, MLOps, AIOps • Understanding of planning, design, management, execution, and reporting of the core components for AI/Cognitive solution) • Experience with TDD practices / frameworks (JUnit (Java) / Jest (React) / Karma / Jasmine) • Troubleshoot and debug applications to ensure optimal performance. • Experience and desire to work in a Global delivery environment • Candidates authorized to work for any employer in the [United States] without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Qualifications: • Knowledge of Cloud Implementation – Azure, Kubernetes/Docker • Experience in developing & deploying Microservices, Data Modelling, Database Design, Tuning Design Parameters, Normalization, Solving Performance bottlenecks • Experience in Middleware, Open-Source tools & technologies • Excellent problem-solving skills and attention to detail. • Strong communication and teamwork abilities. • Experience in Production support is good to have • Experience with monitoring tools is good to have • Good Communication and Analytical skills The job entails sitting as well as working at a computer for extended periods. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.