IBM Consulting drives business and technology transformation globally. Asset Engineering seeks an experienced Data Scientist to develop scalable AI solutions supporting multiple clients and internal initiatives.
-
Build GenAI solutions using LLMs embeddings vector DBs and RAG pipelines.
-
Create AI agents that can perform multi-step tasks reliably.
-
Write strong clean Python code for data processing modelling APIs and pipelines.
-
Design and manage vector search systems (FAISS Pinecone Weaviate etc.).
-
Work with product and engineering teams to ship AI features into production.
-
Evaluate models improve accuracy reduce latency and monitor performance.
-
Bring structure to ambiguous problems and propose the right AI approach.
-
Follow responsible AI practices and ensure the models are trusted and explainable.
-
Mentor junior team members and raise the overall technical bar.
+ Proficiency in Prompt Engineering LLMs Retrieval Augmented Generation and Python
programming
+ Experience with GitHub software development CI/CD and cloud deployment
+ Experience of database management systems such as MySQL or PostgreSQL
+ Knowledge of Agile development methodologies
+ 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)
-
Experience with MLOps CI/CD and model monitoring.
-
Familiarity with cloud platforms (Azure AWS GCP IBM Cloud).
-
Exposure to AI governance model cards and risk evaluation.
-
Any open-source contributions or published work around GenAI.