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
Design and development of a Chatbot backend for our Web Platform. (Java ML/AI)
Design and development of an onboarding tool to facilitate client onboarding. (Python ML/AI)
Programming Skills:
+ 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)
- 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