Familiarizing and adopting work methodology aligning with the existing ACoE organization.
Contributing to the Solutioning/POCs for key initiatives already in-flight
Applying modern development practices in the delivering POCs/prototypes in intelligent Automation technologies.
Make sure ACoE continues to delivery intelligent automation capabilities on-prem and cloud adding decision and conversational intelligence
Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery.
Proactively look for and explore opportunities where ACoE can improve the status quo or generate new business value
Drive data and analytics through insights, reporting, and predictive models that support finance strategy and ensure proper implementation of analytics driven decision via various automation techniques.
Implement NLP where applicable and complete the use cases as per requirements.
Having experience in implementing chatbot functionality.
Connect to Database and integrate the code with the visualization tools by enabling interaction with database/bot/Power BI
Create technical documentation for reference and reporting
Develop intuitive software that meets and exceeds the needs of the company
Experience working with SAP (ERP), SFDC, Microsoft Office preferred
Have led a team of junior developers to guide/mentor them on best practices of RPA solution
Owned review of production ready deliverables.
Relevant experience/awareness in Python, Chatbots, OCR, ML and AI techniques
Experience in creating workflows, storyboards, user flows, process flows and site maps.
Knowledge of frameworks/systems like AngularJS, Git and more
Experience in Power BI or any visualization tools is preferrece
About You
Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
3 to 5 years of experience.
Demonstrate experience designing cloud-native applications in AWS particularly those involving ML models.
Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
Had previous exposure to Natural Language Processing (NLP) problems and is familiar with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
Can understand and translate between language and methodologies used both in research and engineering fields.
Have been successfully taking and integrating Machine Learning solutions to production-grade software.
