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Jobright.ai

Data science AI/ML Architect

Jobright.ai, Tempe, Arizona, us, 85285

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Infosys is a global leader in next-generation digital services and consulting. They are seeking a Data science AI/ML Architect Consultant who will innovate and create solutions through data analysis, collaborate with engineering teams to bring analytical prototypes to production, and design scalable AI solutions. Responsibilities: • 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. Qualifications: Required: • Candidate must be located within commuting distance of Phoenix, AZ or Richardson, TX or 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 • 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: • 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 Company: Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, headquartered in Bangalore, Karnataka, IND, team size 10001+ employees, currently Public Company. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job

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