Data Scientist
Core
Design, develop, and maintain scalable ETL/ELT data pipelines and AI/GenAI-enabled data solutions for large-volume structured and unstructured datasets.
Role type
Senior Data Engineer (AI/GenAI focus)
Builds
Production data pipelines, data lakes, data warehouses, and AI-powered APIs and applications
Domain
Big Data, Cloud Computing, Generative AI, NLP
Deliverable
production ML models
Required skills
Python, PySpark, Apache Spark, Kafka, AWS, Azure, SQL, Docker, Kubernetes, LLMs, NLP, Vector Databases
Preferred skills
Enterprise Banking experience, Data migration, Legacy ETL modernization, AI/GenAI production deployments
Technologies
Databricks, Snowflake, Hadoop, Hive, Presto, Redis, ChromaDB, FAISS, LangChain, LangGraph, LlamaIndex, PyTorch, FastAPI, Power BI
Responsibilities
Design and implement data migration solutions for large-scale enterprise datasets; Develop and optimise SQL solutions across various databases; Integrate LLM services and AI platforms; Develop NLP pipelines for text processing and embeddings; Implement CI/CD and DevOps practices; Collaborate with architects and product teams to deliver enterprise data solutions.
Seniority
Senior, hands-on IC