Software Engineer - AIML Implementation (.NET)

Icertis is hiring for the role of Software Engineer - AIML Implementation (.NET)!

Responsibilities of the Candidate:

• Develop and implement Artificial Intelligence/Machine Learning (AI/ML) solutions within the .NET framework at Icertis.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for AI/ML implementations.
• Design, code, and deploy scalable and efficient AIML algorithms and models, ensuring optimal performance within the .NET environment.
• Work closely with data scientists and domain experts to integrate AI/ML components into Icertis products and solutions.
• Conduct thorough testing and validation of AIML implementations, addressing any issues or anomalies to ensure high-quality deliverables.
• Stay abreast of the latest advancements in AIML technologies and frameworks, bringing innovative ideas to enhance Icertis products.
• Participate in code reviews and provide constructive feedback to maintain code quality and adherence to best practices.
• Collaborate with product managers and other stakeholders to understand user requirements and refine AIML features accordingly.
• Troubleshoot and debug issues in AIML implementations, ensuring robust and reliable performance in real-world scenarios.
• Contribute to the documentation of AIML implementations, providing clear and comprehensive information for future reference.
• Actively engage in knowledge sharing within the team, fostering a collaborative and innovative development environment.
• Stay informed about industry trends and best practices in AI/ML, contributing to the continuous improvement of AIML capabilities at Icertis.

Requirements:

• 2 to 4 years of overall experience in developing enterprise web applications.
• Expertise in the Microsoft technology stack (ASP.NET 3.5/4.0/4.5, MVC, WCF, WPF, WF4, EF, SQL Server).
• Good knowledge of Client-side scripting – JavaScript and JQuery.
• Knowledge of design patterns is desirable.
• Experience in Product Engineering is desirable.
• Exposure to Windows Azure is an added advantage.