Senior Data Engineer (with AI/ML experience) India
Core
Designing, building, and maintaining end-to-end data pipelines, architecture, and design for a warehouse, LLM-driven applications, and AI-based BI.
Role type
Senior Data Engineer (AI/ML)
Builds
Centralized feature stores, model-training workflows, real-time inference services, and LLM-driven applications.
Domain
Financial services / Communications / AI & Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Apache Spark, Hadoop, Kafka, SQL, PLSQL, Snowflake, Redshift, ETL/ELT, RDBMS, API integration, vector data stores, indexing methodologies, prompt engineering, model fine-tuning, orchestration flows.
Preferred skills
MLOps, LLM operations, emerging data engineering methodologies.
Technologies
Apache Spark, Hadoop, Kafka, Snowflake, Redshift
Responsibilities
Design scalable data pipelines for ingestion, transformation, and delivery into feature stores and inference services; Optimize ETL/ELT pipelines and data structures within cloud data warehouses; Build workflows for extracting and storing semantic representations of unstructured data; Architect analytics solutions for natural language query experiences; Manage prompt engineering, orchestration flows, and model fine-tuning routines; Oversee vector data stores and develop indexing for RAG workflows; Partner with stakeholders to translate language-model initiatives into scalable solutions.
Seniority
Senior, hands-on IC
