Introduction
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.
Your Role And Responsibilities
- 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.
Required Technical And Professional Expertise
- 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)
Preferred Technical And Professional Experience
- 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.
