Job Description
Job Responsibilities
Design and development of machine learning models for Natural Language Processing, Natural Language Generation, Voice of Customer/Market and other use cases
Development of criteria for testing algorithm and system’s cognitive performance objectively from end-user and market perspective
Analysis of current programs/cognitive solution including performance, diagnosis and troubleshooting of problems
Text and speech databases design for natural language processing and speech recognition in Cantonese/English/Mandarin
Rapid development and validation of cognitive solutions by using and/or enhancing existing methodologies, frameworks and architecture
Research and recommend algorithms, tools and solutions in alignment with Data Product Management strategy
Support collection and annotation of data for algorithm development and evaluation
Ideal candidates will be expected to have:
1-3 years’ of experience in Machine Learning algorithms, including deep learning and statistical models for solving real-world problems
1-3 years’ of experience in Natural Language Processing (NLP)
Strong skills (and experience with Python, R and other open source ML technologies, data architecture, software development tools, technologies and frameworks such as Hadoop, Spark, MongoDB, Git, and Jenkins
Strong knowledge on Cloud services natural language understanding API (e.g. Amazon Web Services, Google Cloud, IBM Watson, Microsoft Azure)
1-3 years' of experience in engineering skills in developing or modifying large-scale data product where scalability, availability, performance and security are important
Demonstrated communication and cross-functional collaboration skills
Knowledge/experience of IBM Watson and other IBM Advanced Analytics technologies will be an advantage
Required Technical and Professional Expertise
Machine Learning algorithms, Natural Language Processing
Preferred Tech and Prof Experience
• Experience with Python, R and other open source ML technologies, data architecture, software development tools, technologies and frameworks such as Hadoop, Spark, MongoDB, Git, and Jenkins
• Strong knowledge on Cloud services natural language understanding API (e.g. Amazon Web Services, Google Cloud, IBM Watson, Microsoft Azure)
EO Statement
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.
Location: Yorktown Heights, NY
Posted: Aug. 22, 2024, 12:21 p.m.
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