Data Scientist / Machine Learning Engineer

Company:
Location: Bengaluru, Karnataka

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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 Expansion
  • Amplify FeedbackYour 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.

Required Technical and Professional Expertise
  • 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 visualization
    Data Manipulation and Analysis
    Modeling and tuning of Machine Learning Systems
    Deep Learning Systems (CNN, RNN)
    Measurement and communication of ML system accuracy and quality
    Implementation and Maintenance of production systems
    devOps processes
    PostgreSQL
    Docker
  • Critical Technologies
    Python including: pandas, numpy, tensorflow, scikit_learn, scipy, Flask, nltk
    swagger
    RestAPI development
    SQL
    DB2
    Natural Language Processing (nlp)
    Machine Learning (ML)

Preferred Technical and Professional Expertise
  • Watson Studio
  • Watson Cloud APIs
  • github
  • jira
  • cloudant
  • markdown
  • knowledge and understanding of Data Privacy and Ethics in AI principles

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 @ IBMAre you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

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 countriesIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementWhen applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

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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