Sr. Associate - AI and Data Engineer
Revantage Global Services India Private Limited (company site, opens in a new tab)5–7 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy scalable AI and ML solutions including multi-agent architectures and LLM integration to optimize data centre operations and intelligent automation.
- Develop and maintain robust batch and streaming data pipelines, curated data models, and AI platform foundations using tools like Azure, Databricks, Kafka, and dbt.
- Implement end-to-end MLOps and DataOps pipelines with CI/CD, monitoring, infrastructure as code and ensure responsible AI practices, data governance, and security compliance.
Minimum Requirements
- 5 to 7 years experience in data engineering, AI/ML engineering, or software engineering with production-grade data and AI cloud solutions delivery.
- Strong programming skills in Python and proficiency in SQL; experience with JavaScript or Shell scripting is needed.
- Hands-on experience with Azure, Databricks, streaming technologies (Kafka, Azure Event Hubs), and tools like Terraform, Docker, Kubernetes for CI/CD and orchestration.
- Experience in building AI/ML solutions involving LLMs and agentic systems with tools such as OpenAI, Anthropic, LangChain; knowledge of data governance and Responsible AI integration.
Ideal Candidate Profile
- Experienced engineer comfortable working full-stack in a DevOps-oriented environment enabling AI and data platform evolution at scale.
- Demonstrated ability to design scalable, secure enterprise AI and data architectures integrating emerging AI technologies and real-time data pipelines.
- Proven mentor and collaborator capable of cross-functional engagement, knowledge sharing, and driving operational excellence in production AI and data systems.