GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. 

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

For more information please visit us on GEP.com or check us out on LinkedIn.com.

• Architect end to end ML / AI features which are robust and scalable. 
• Define metrics for model performance aligned with the business objective and requirement. 
• Build custom models & models for exceptions for different use cases. 
• To go deeper into the technical solution and ensure quality of the feature releases. 
• Mentor junior members of the team so that they handle complex problems on their own. 
• Improve efficiencies of the processes of AI quality . 
• Keep up with the advances of Generative AI and bring relevant thought leadership to the team in the space. 

• 12 + years of overall experience with minimum of 9 + years in the domain of Machine Learning, AI, Analytics 
• Should have built at least 2 AI systems and taken them to production. 
• Should have deep knowledge in NLP and Structured data related solutions and know-how of computer vision technology.  
• Strong in one of the frameworks Pytorch, TensorFlow and experience in optimizing solutions for performances. 
• Deep knowledge of building conversational systems using traditional and Generative approaches is preferred. 
• Previous experience of working closely with engineering teams in driving performance and deployment conversations.  
• Should do quick Proof of Concepts to explain the art of possible to stakeholders.