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IBM Machine Learning Engineer / Data Scientist in Prague, Czech Republic

Introduction

As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

The machine learning engineers and data scientist role on our teams is responsible for delivering enabling cognitive solutions to enhance the YourLearning SaaS platform. For more information about IBM's Your Learning platform go to https://yourlearning.ibm.com/about/ Our portfolio currently includes:* Cognitive Activity Recommendations* Cognitive Badge Recommendations* Cognitive Channel Recommendations* Tag Advisor* Channel Curator Advisor* Cognitive Data Quality Advisor* Cognitive Search ExpansionYour Learning AI utilizes a variety of models, including unsupervised and supervised learning techniques, to achieve its accuracy levels. After client training data is collected and assembled, the data is used to train machine learning (ML) models including recurrent neural networks (RNN), Bayesian Classifiers, word2vec, Latent Semantic Analysis (LSA) and DBSCAN clustering. Additionally we use IBM Watson Services such as Natural Language Understanding and Natural Language Classifier and Language Translator.In addition to the skills and technologies below, the successful candidate will exhibit curiosity, creative thinking, resiliency, passion and tenacity in pursuit of long-term goals and short term successes. Critical Skills Communications including storytelling through data visualizationData Manipulation and AnalysisModeling and tuning of Machine Learning SystemsDeep Learning Systems (CNN, RNN)Measurement and communication of ML system accuracy and qualityImplementation and Maintenance of production systemsdevOps processes Critical Technologies Python including: pandas, numpy, tensorflow, scikit_learn, scipy, Flask, nltkswaggerRestAPI developmentSQLDB2Natural Language Processing (nlp)Machine Learning (ML) Additional Desired Skills and Tools Watson StudioWatson Cloud APIsgithubjiracloudantmarkdownknowledge and understanding of Data Privacy and Ethics in AI principles

Required Technical and Professional Expertise

as above

Preferred Technical and Professional Expertise

as above

About Business UnitIBM Corporate Headquarters (CHQ) team represents a variety of functions such as marketing, finance, legal, operations, HR, and more, all working together to solve some of the world's most complex problems, help our clients achieve success and build collaborative work environments for IBMers.

Your Life @ IBMWhat matters to you when you're looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities - where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust - where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBMIBM's greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

Location StatementIBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Being You @ IBMIBM 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, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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