AI Engineer(9808)
Quarks Technosoft3–5 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data pipelines using Python and Snowflake for structured and unstructured data.
- Develop and optimize AI/ML models and workflows including deployment and monitoring within cloud environments (AWS).
- Manage data accuracy and governance specifically for finance and enterprise datasets, incorporating Agent-to-Agent AI architectures.
Minimum Requirements
- 3 to 5 years of relevant experience in AI engineering or related fields.
- Strong proficiency in Python, SQL, and DBT for data engineering and analytics.
- Experience with AWS cloud services: Code Pipeline, S3, EC2, ECS, Lambda.
- Location: Bengaluru (Hybrid work model).
Ideal Candidate Profile
- Experienced in building advanced AI/ML workflows with a focus on automation and performance optimization.
- Skilled in handling large scale finance and enterprise data with strict governance needs.
- Familiar with Agentic AI concepts such as LangGraph, LangChain, MCP, and Agent-to-Agent (A2A) patterns for enhanced AI integrations.