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. Within IBM Consulting, Asset Engineering Services is a group who build software products and repeatable solutions to accompany and support multiple consulting and services engagements across different clients.
Asset Engineering is looking for a motivated and seasoned Data Scientist to join our global team to deliver outstanding results for both internal/external clients.
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
Preferred Education
Master's Degree
Programming Skills
Required technical and professional expertise
- Proficiency in Prompt Engineering, LLMs, Retrieval Augmented Generation, and Python programming
- Experience with GitHub, software development, CICD, and cloud deployment
- Experience of database management systems such as MySQL or PostgreSQL
- Knowledge of Agile development methodologies
AI And LLM Experience
- Experience using LLMs in software applications, including prompting, calling, and processing outputs
- Experience with AI frameworks such as LangChain, Llamma Index, Crew.ai, Autogen
- Experience with LLM applications such as ChatGPT, Perplexity,
- Experience with RAG frameworks or engines (RAGflow, Haystack)
Preferred Technical And Professional Experience
- Work with the Product Managers and technical lead to build the data pipeline and knowledge bases to support the AI use cases. Work with integration team to integrate models into production environments and ensure smooth data flow.
- Experience with any Cloud, Cirrus (IBM CIO Private Cloud). Experience with DevOps tools including GitHub Enterprise, CI/CD
- Ensuring data security, privacy, and compliance standards are met
