Machine Learning Engineer

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
Good 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.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Machine Learning.
• Strong 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 is based at our Indore office.
• A 15 years full time education is required.