1. Work alongside data scientists and data engineers in building AI-ML services for existing procurement and supply chain platforms
2. Gather, analyze, process, and generate insights from structured and unstructured datasets
3. Research and do PoCs on cutting-edge technologies such as graph databases, Azure Databricks, MLflow, etc.
4. Build and automate ML pipelines
5. Perform testing and supporting deployment activities
Requirements:
1. 2021 & 2022 engineering/science graduates with specialization in AI/Data Science
2. Hands-on experience with Python and SQL
3. Should demonstrate basic understanding of Data Structures, Relational Databases, ETL operations and ML pipelines
4. Should have experience with popular python packages like pandas, NumPy, scikit-learn, matplotlib, etc.
5. Should have demonstrated problem solving and analytical skills through academic projects or hackathons
6. Good Understanding of Machine Learning and Deep Learning Algorithms. Understanding of NLP and CV concepts is a plus.
7. Knowledge of building Restful APIs, Microservices with Docker is a plus
Skill(s) required
Artificial intelligenceData ScienceData StructuresMachine LearningNatural Language Processing (NLP)Python
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. We deliver practical, effective procurement services and technology that enable procurement leaders to maximize their impact on business operations, strategy, and financial performance. Named as a star performer in Everest Group's Peak Matrix of Procurement Services Providers, winner in the HfS Blueprint Report on Procurement Outsourcing Providers and to the Supply & Demand Chain Executive 100 for nearly a decade, GEP is also ranked a leader in Gartner's Magic Quadrant analysis of the world's top sourcing and procurement software providers. Clark, NJ-based GEP, has 21 offices and operations centers in North & South America, Europe, and Asia.