We live in a moment of remarkable change and opportunity. The convergence of data and technology is transforming industries and society. IBM Digital Business Group plays a key role in developing and supporting IBM’s technology to be digital ready.
The current opportunity is a role with the Unified Messaging Experience team who promote a fresh and energetic approach to innovation, creativity and solution architecture within the entire Digital Business Group. We heavily use advanced technology such as AI, Blockchain and keep on pushing the boundaries. An approach that is borne out by many active projects within our team that have yielded several success stories to date. The principles of collaboration, knowledge sharing and leadership are promoted within our team and are the foundations that enable motivated individuals with diverse skills to function as part of a highly productive and innovative team.
IBM is innovating rapidly in Digital space and our group is helping IBM achieve that goal by doing creative and innovative work in Digital Messaging space. We are currently looking for a suitable candidate to be part of an innovative and ambitious team with
Identify and propose new use cases
Break those use cases down into discrete MVPs (minimal viable product)
Work in code notebooks
Build & validate models
Deploy models via APIs into applications or workflows
Monitor & retrain models
Use code repositories to version and share code/notebooks
Visualize the output of their data story in a way that is consumable by all
Create Machine Learning pipelines and train models.
Required Technical and Professional Expertise
1-4 years of professional experience in Machine Learning/AI and statistics.
Outstanding expertise and hands-on experience on machine learning, text analysis, data mining, and NLP.
Experience of incorporating ML & AI concepts into product/service solutions with a focus on deep learning.
Solid experience in using Python numerical and scientific libraries like numPy and sciPy.
1+ year of experience working with Machine Learning pipeline - data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying and diagnosing ML models.
Preferred Tech and Prof Experience
Experience with deep learning frameworks such as Keras, Tensorflow will be a big plus.
Experience with Curating Big Data Sets.
Familiarity with open source big data solutions, such as Apache Hadoop, Spark, and Kafka.
Experience working on textual datasets.
Experience working with offering managers and product teams
Experience in sharing data science/machine learning experiment results with both technical and business oriented people.
Innovative mindset and an ability to take calculated risks with a fall back plan in the back pocket.
MS/PhD holder in CS or related fields with 1-4 years of professional experience in Machine Learning/AI and statistics.
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.