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Company Name : IBM
Location : Ahmedabad, Gujarat
Position : Mid Level Data Scientist
Job Description : Introduction
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today – planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.
Your Role and Responsibilities
As Build Labs Team Data Scientist, you will support the creation of cloud applications that work smarter and more effectively by infusing data science workflows to extract business insights from data. These insights will drive increased value – for many of the biggest and most complex ISV partner applications. You will work with a team of engineers with expertise in industry-leading Cloud platforms and technologies to implement these transformations.
To succeed, you will become a trusted collaborator with ISV partner developers and data scientists as they move their technologies and offerings to IBM software solutions across multi-cloud platforms. You will have an opportunity to consult and provide guidance to ISV partners as they integrate their products, services and offerings to IBM software solutions across multi-cloud platforms.
This role will interface with marketing, expert services, development, other IBM delivery organizations and business development leaders to ensure successful outcomes. Candidates must be comfortable working in a dynamic and rapidly evolving agile work environment.
This is an opportunity for you to help IBM and external partners succeed in growing cloud presence.
What you’ll do:
As a Data/AI Engineed Scientist on the Build Labs Team, you will:
Be the Subject Matter Expert on ML, Data and AI Statistical models and how they apply to business problems
Work with a team of engineers with expertise in industry-leading Cloud platforms and technologies to implement these transformations
Passion for learning, experimenting, and implementing new research papers in the field
Ability to understand and learn new technologies quickly
You will be the Subject Matter Expert on ML, Data and AI Statistical models and how they apply to business problems
You will advise on and help implement models in Machine Learning, Optimization, Neural Networks, and Artificial Intelligence such as Natural Language, and other quantitative approaches as needed for client/partner solutions
How we’ll help you grow:
The opportunity to work in many different areas to figure out what really excites you
You’ll have access to all the technical and management training courses you need to become the expert you want to be
Exposure to work on multiple strategic areas
Client interfacing opportunities
Required Technical and Professional Expertise
5+ years’ experience in the area of Software Development or deployment, along with
Min 3 years’ experience with Data science projects
Expertise with development in a data science programming language like Python, or R
Understanding of data science open-source technologies including Python, Jupyter notebooks, TensorFlow, Scikit Learn, SparkML and Spark
Experience designing, running and statistically evaluating models used in Machine Learning, Optimization, Neural Networks
Must have one or more of the following customer-facing roles in work history:
Professional/lab services, technical sales, support, ISV, or business partner focal
Successful completion of a delivered customer project as a developer or data specialist
Comfortable interacting with ISV and/or external customer
You should be familiar with IBM software solutions across multi-cloud platforms and Red Hat OpenShift platforms or other public cloud platforms.
Background & experience:
Must exhibit excellent written and verbal English communication skills
BS in Statistics or Quant Methods or Math’s or equivalent.
Preferred Technical and Professional Expertise
Expertise with Jupyter notebooks for building hypothesis test, A/B testing as well as deployment
Experience with machine learning framework deep learning models using Pytorch, Tensorflow, Keras
Understanding of Statistical Machine Learning Models with Python, Scala, or R
Experience with Watson Studio and Watson Machine Learning for deploying models
Experience with ML Ops deployment in multi-cloud platforms Pak for Data
Experience with AI Fairness 360 toolkit and/or Watson OpenScale
Experience in Data and AI offerings on public clouds (AWS, Azure, Google etc.)
Experience with Decision Optimization methods like Integer Programming
Experience as a client or ISV developer advocate.
About Business Unit
IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company’s Global Markets organization is a strategic sales business unit that manages IBM’s global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients’ growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
Your Life @ IBM
Are 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 IBM
IBM’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 Statement
When 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 @ IBM
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, 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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