IBM

Ecosystem Engineering - Technology Engineer

Posted On

Nov. 27, 2024

Location

Bangalore, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

Jan. 3, 2025

Job Description

Introduction
At IBM, we're revolutionizing our approach to technology sales. Our teams are champions of co-creating solutions in real-time to solve complex business challenges.
In this role, you'll partner with technical leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation.At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you'll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM’s people, products, and services.
This is an opportunity for you to help IBM and external partners succeed in Data & AI space.

Your Role and Responsibilities
As an SI Lab 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 SI partners. You will work with a team of engineers with expertise in industry-leading Data & AI platforms and technologies to implement these transformations.
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 Data & AI space.
As a Data Scientist on the SI Labs team, you will:

Assist partners in defining, designing, implementing and deploying machine learning technologies in their product
Participate in engagements with partners
Enable partners on IBM's Data/AI technologies, products
Effectively lead projects with multiple technical teams and IBM Partners across geographies
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

Required Technical and Professional Expertise

Required skills - 3+ experience with Data science projects
Experianceworking on enagements for data science, conceptualisation of use cases and experience in design, build, train and deploy ML componants. Strong Foundation in Statistics and machine learning algorithms. Experience with Generative AI.
Expertise working with open source packages in NLP, Timeseries etc.
Expertise with development in a data science programming language like Python or R
Experience running and statistically evaluating models used in Machine Learning, Optimization, Neural Networks
Experience in Data and AI offerings on Public clouds (AWS, Azure, Google etc.)
Experience with ADO or Jenkins for CI/CD- Must have one or more of the following customer-facing roles in work history:
Understanding of data science open source technologies including Python, Jupyter notebooks, Pytorch , TensorFlow and Spark
technical sales, support, ISV, or business partner focal
Successful completion of a delivered customer project as a developer or data specialist
Ability to understand and learn new technologies quickly
Must exhibit excellent written and verbal English communication skills
Background
Bachelor/Masters Degree in Computer science

Preferred Technical and Professional Expertise

5+ years of experience in Big Data technologies (Hadoop, Spark)
Expertise with Jupyter notebooks
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 as a client or ISV developer advocate
Experience in Data and AI offerings on Public clouds (AWS, Azure, Google etc.)
Experience with Databases and Data engineering

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

In 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 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, 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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