Machine Learning & Applied Research Scientist

About the Role

• 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 visualizations 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 have familiarity 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.