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IBM Academic Technical Lab Enablement Lead in Bangalore, India

Introduction

creativity. We are on the forefront of ground breaking change - improving businesses, society, and the human condition. As a leader in Hybrid Cloud and AI, we are leading the charge in a world-wide digital transformation. Our Marketing, Communications & Corporate Social Responsibility (MCC) team tells this story and is responsible for positioning IBM in the market. We define and optimize IBM's brand, capture the market's attention, and articulate our point of view for clients, partners, the media, and even other IBMers. As part of our team, you'll be surrounded by bright minds and keen collaborators - always willing to help and be helped - as you apply passion to work that will compel our audience to choose IBM's products and services. When you join IBM, you join a culture of openness, collaboration, and trust. You join a team of IBMers who are helping technology support a positive global transformation. So join us and experience a place where you can co-create your learning and opportunities. A place where teamwork and unique ideas are treasured. A place where you can bring innovation to life.

Your Role and Responsibilities

This is an opportunity for you to help IBM and university stakeholders (universities, faculty, students) succeed in Data & AI space.

As a Data Scientist on the Academic Initiatives and Workforce Social Impact team, you will:

  • Design and develop learning experiences to effectively drive adoption of IBM technologies at universities and broader learner eco-system.

  • Deliver classes and conduct office hours to train faculty and students.

  • Capture best practices for ML, Data/AI technologies, create documentation like articles, tutorials, and hands-on workshops & demos.

  • Demonstrate your passion to understand and learn new technologies, to innovate and improve quality of service.

  • Assist university stakeholders in defining, designing, implementing and deploying watsonx machine learning technologies.

  • Participate in engagements with universities and non-profit partners.

  • Enable stakeholders on IBM's Data/AI technologies, products.

  • Effectively lead projects with multiple technical teams and external stakeholders across geographies

Required Technical and Professional Expertise

  • 3 Years of experience in AI engineering or related roles, with a strong focus on machine learning, deep learning, and natural language processing.

  • Proficiency in programming languages such as Python, Java, or C++, along with experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.

  • Experience in or knowledge of generative AI using LLMs, proprietary or opensource.

  • Solid understanding of machine learning algorithms, neural networks, and statistical modeling techniques.

  • Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring scalability, reliability, and efficiency.

  • Ability to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment.

  • Strong expertise in educational technologies and instructional design methodologies.

  • Strong problem-solving skills and ability to work independently as well as collaboratively in a team environment.

  • Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

  • Experience delivering engaging training classes and office hours

Preferred Technical and Professional Expertise

  • 3+ years of experience in Big Data technologies (Hadoop, Spark)

  • Expertise with libraries such as transformers and langchain.

  • Experience with deep learning models using Keras

  • Deep Understanding of Statistical Machine Learning Models with Python or R

  • Experience with Watson Studio and IBM AI API

  • Understanding of data science open source technologies including Python, Jupyter notebooks, TensorFlow, and Spark

  • Big Data Certifications on Cloudera/Hortonworks/AWS/GCP/Azure

  • Experience with AI Fairness 360 toolkit and/or Watson OpenScale

  • Experience with IBM software solutions across multi-cloud platforms Pak for Data

  • Experience in Data and AI offerings on Public clouds (AWS, Azure, Google etc.)

  • Experience with Databases and Data engineering

  • Experience working with faculty and/or researchers in academia

  • Experience developing engaging hands-on exercises and demos to engage students and developers

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.

This job requires you to be fully COVID-19 vaccinated prior to your start date and proof of vaccination status will be required before your start date. During the Onboarding process you will be asked to confirm your vaccination status, in case you are unable to get vaccinated for any reason, you can let us know at that stage. Please let us know if you are unable to be vaccinated due to medical or religious reasons. IBM will consider such requests on a case by case basis subject to submission of required proof by the candidate before a stipulated date.

Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBMIBM'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, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, 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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