Data Scientist: AI/ML Engineer

  • Data & Analytics
  • Professional

Data Scientist: AI/ML Engineer

  • Data & Analytics
  • Professional

Introduction
We are seeking an experienced Data Scientist- AI Engineer with a strong background in Generative AI and AI agents to join our Asset Engineering team. The ideal candidate will have expertise in RAG, Agentic Workflows and Large Language Models (LLMs) and a passion for building innovative AI solutions.
As an AI Engineer, you will be responsible for designing, developing, and deploying AI-powered applications that integrate with our existing software AI framework and infrastructure based on Watsonx, IBM Sales Cloud (Powered by Salesforce) and IBM Consulting Advantage Assistants.

Your Role and Responsibilities

  • Design, develop, and deploy AI agentic applications by leveraging LLMs, prompt engineering, and Retrieval Augmented Generation (RAG) within agent workflow frameworks
  • Collaborate with cross-functional teams to identify and prioritize project requirements
  • Integrate AI models with Salesforce, Watsonx Assistant, Watsonx Orchestrate, Slack and other web applications using RESTful APIs and web frameworks such as Spring Boot or Flask/FastAPI.
  • Develop and maintain relational and vector databases such as PostgreSQL and Milvus
  • Stay up to date with the latest advancements in AI and machine learning, and apply this knowledge to improve our AI applications


Required Technical and Professional Expertise

  • Proficiency in Prompt Engineering, LLMs, Retrieval Augmented Generation, and Python programming
  • Experience with GitHub, software development, CICD, cloud and deployment database management systems such as MySQL or PostgreSQL ,vector database (Milvus, Weaviate) and graph database (Neo4j)
  • Experience using LLMs in software applications, including prompting, calling, and processing outputs
  • Experience with AI frameworks such as LangChain, Llamma Index, Crew.ai, Autogen, watsonx.ai and the models available in the platform
  • Experience with LLM applications such as ChatGPT, Perplexity, RAG frameworks or engines (RAGflow, Haystack)


Preferred Technical and Professional Expertise

  • Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
  • Experience working on LLMs, Model Training & Evaluation, Performance Benchmarking.
  • Experience in developing multi-agent applications using frameworks like Crew AI, AutoGen etc

Want to know what it’s like to be an IBMer?


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.

Key Job Details

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