Infosys
Data science Architect
Job Description
Responsibilities: • Collect architecture requirements for system/ application from multiple stakeholders • Anchor technology comparison and selection activities supported by PoCs • Define application architecture – logical, technical, information & deployment • Communicate architecture to project teams & business users • Implement architecture by guiding project teams • Anchor NFRs implementation & validation in project • Drive standards and reuse in project implementation • Work closely with Data scientists to embed/ integrated ML models in application • Explore new advances in technology continuously and execute PoCs in emerging areas • Identify solution ideas and develop new solutions • Mentor junior team members & evangelize new technologies in organization Educational Requirements Bachelor of Engineering Additional Responsibities: • Min. 9+ years of relevant experience • In-depth knowledge of design issues and best practices • Solid understanding of object-oriented programming • Familiar with various design, architectural patterns and software development process. • Experience with both external and embedded databases • Creating database schemas that represent and support business processes • Implementing automated testing platforms and unit tests • Good verbal and written communication skills • Ability to communicate with remote teams in effective manner • High flexibility to travel Technical and Professional Requirements: • J2EE – full stack, Python • Containerization – Docker, Docker registry, Kubernetes, OpenShift • ML Ops – Kubeflow/ ML Flow/ Airflow/ Data Robot • Cloud platform architecture & AI capabilities on Cloud - Azure, AWS, GCP • Knowledge of architecture and design patterns • Past experience of playing Technical Architect role
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