Company Overview:
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.
What you will do:
KEY RESPONSIBILITIES
Lead and own multiple projects/areas of research.
Work with Data Architects to leverage existing data models and
build new ones as needed.
Mentor junior data scientists and interns.
Collaborate with product development teams productize machine
learning models and solutions on our platform.
Demonstrating your work to our clients or potential clients. Present
your work in both GEP internal forums and conferences.
Work on IP generation such as patents, journal papers and
conference papers.
Develop new and apply/extend existing, concepts, methodologies,
techniques for cross functional initiatives.
What you should bring:
REQUIREMENTS
Bachelors/Masters/PhD degree in Computer Science, Computer
Engineering, Applied Mathematics, Operations research or related
technical discipline with 5+ years of industry experience in Data
Science.
Experience working with supervised/unsupervised learning ML
models such as support vector machines (SVM), neural networks,
Bayesian models, CNN, RNN, computer vision techniques,
reinforcement learning etc. The ideal candidate will have a wide
coverage of the different methods/models, and an in-depth
knowledge of some. Knowledge of Generative AI and LLMs
implementation.
Demonstrated experience in natural language understanding.
Strong coding experience in Python, R and Apache Spark. Python
Skills are mandatory.
Experience with NoSQL databases, such as MongoDB,
Cassandra, HBase etc. Proven ability of working on open-source
frameworks such as Keras, TensorFlow, Spark ML, H20 etc.
Experience of working on Microsoft Azure is a plus although not
mandatory.
Proven experience writing production-grade software
Extensive experience in model development and life-cyclemanagement in one or more industries. Knowledge of Generative
AI and LLM implementation.
