Project Role : Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Machine Learning
Valuable to have skills : NA
Educational Qualification : 15 years full time education
Summary:
As a Packaged/SaaS Application Engineer, you will configure and support packaged or Software as a Service applications to adapt features, manage releases, and ensure system stability. Your typical day will involve utilizing standard tools, APIs, and low-code platforms to align solutions with business needs while maintaining compatibility and performance across various systems. You will engage with cross-functional teams to understand requirements and implement effective solutions that enhance user experience and operational efficiency.
Roles & Responsibilities:
Expected to be an SME,
collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.
Monitor application performance and implement necessary adjustments to optimize functionality.
Skilled & Technical Skills:
Must To Have Skills: Proficiency in Machine Learning.
Solid understanding of data modeling and algorithm development.
Experience with cloud-based machine learning platforms and tools.
Ability to analyze large datasets and derive actionable insights.
Familiarity with programming languages such as Python or R for machine learning applications.
Additional Information:
The candidate should have minimum 5 years of experience in Machine Learning.
This position i