IBM

AI/ML Engineer

Job Description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let’s talk.
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
IBM Cognitive Asset Engineering Services is looking for a motivated and seasoned Senior Data Scientist to our global team to deliver outstanding results for both internal/external clients and build a robust and repeatable product offering. You will be working in one of the top 10 assets in the group with highly collaborative teams in a dynamic and agile environment.
The IBM Consulting Modern Data Accelerators provides the foundation of data and analytics to enable business outcomes through the creation of cloud and hybrid cloud environments. It manages: Curation, Ingestion, Ingestion/Curation, Metadata, Operational Controls, Persist & Publish, and Data Security.
You will directly collaborate with CTO of the asset, architects, development leaders, system administrators, and testers who both enhance the product and establish and govern the architectural, development, and testing processes used across the organization.

Your Role and Responsibilities
  • Machine Learning Model Development: Design, develop, and implement machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Large Language Model Integration: Collaborate with architects to leverage Large Language Models (LLMs) like Watsonx AI, GPT-4, or Bedrock (if applicable) for project success.
  • GenAI Project Experience: Bring at least 2 years of experience in GenAI projects, either for clients or IBM assets/products.
  • GenAI Task Expertise: Demonstrate expertise in at least one GenAI task, such as:
  • RAG content generation
  • Code generation
  • Code conversion
  • AI Agent development
  • Data mapping
  • Graph RAG
  • Solution Design and Requirements: Work closely with business SMEs to define project requirements, select appropriate AI/ML/GenAI models with architects, and set realistic model benchmarks to meet business needs.
  • AI Solution Design with Ethics: Collaborate with architects to design AI solutions that incorporate knowledge of AI ethics.


Required Technical and Professional Expertise
  • Machine Learning and GenAI: Strong understanding of machine learning and GenAI concepts. Awareness of ethical implications in GenAI, including bias, fairness, and privacy.
  • Python and Data Science Libraries: Proficiency in Python and relevant data science libraries (e.g., NumPy, Pandas, scikit-learn). Practice on Graph database and Vector DB.
  • Large Language Models: Familiarity with LLMs, including their architectures, capabilities, and limitations. Skill in crafting effective prompts to guide LLMs and obtain desired outputs. Ability to handle and prepare data for analysis, including data cleaning, normalization, and feature engineering
  • GenAI Frameworks: Deep understanding of GenAI frameworks like TensorFlow, PyTorch, Hugging Face Transformers, Langchain, and Llama index.
  • Latest GenAI Practices: Knowledge of the latest GenAI practices on at least two prominent LLMs (e.g., GPT-4, Llama3).


Preferred Technical and Professional Expertise
  • Knowledge of Model Ops practices on cloud and containerization
  • Familiarity with design lead development methodologies in complex data platforms and analytics
  • Ability to work with data from the data platform and communicate insights effectively.

About Business Unit
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

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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