DATA SCIENTIST-ADVANCED ANALYTICS

Job description

from IBM careers

Introduction

We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations.

Your role and responsibilities

 

• Lead end to end Databricks implementations covering data ingestion, ETL and ELT pipelines, Delta Lake architecture, feature engineering, MLflow based model development, deployment, and monitoring, and extend the platform with Databricks Agents and Databricks Apps to build governed, secure, and scalable AI driven applications for enterprise use cases.
• Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
• Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms
• Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLaMA, with Retrieval Augmented Generation RAG and advanced RAG patterns including hybrid search, vector databases, re ranking, prompt optimization, and context grounding for enterprise scale use cases.
• Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to design, orchestrate and govern multi agent workflows.
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