IVR Systems Operations Engineer Sr
Zensar Technologies (company site, opens in a new tab)5+ yrsOn-siteDirect career pageEst. 15–28 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Own design, development, and deployment of large-scale AI/voice assistant systems using cloud-based infrastructure.
- Implement and maintain scalable, distributed, cloud-native architectures with microservices, containerization, and API integrations.
- Drive innovation and continuous improvement by evaluating emerging AI technologies and solving complex technical challenges.
Minimum Requirements
- 5+ years experience in software development and architecture of large-scale AI or cloud-based production systems.
- Hands-on expertise in AI/ML technologies including NLP or speech recognition, and experience with large language models or conversational AI.
- Strong proficiency with Microsoft Azure and AWS cloud services, including CI/CD pipelines and container services for AI workloads.
- Proficient in modern programming languages (Python, Java, C#, or similar) and DevOps practices, with knowledge of scalable distributed systems and microservices architecture.
Ideal Candidate Profile
- Experience working in banking, fintech, or heavily regulated industries familiar with compliance, security, and privacy requirements for AI solutions.
- Track record of bringing AI research and innovative concepts (such as agentic AI, multi-modal models, reinforcement learning) from prototype to production.
- Advanced technical education (Master’s or higher in Computer Science, Engineering, AI, or related) or equivalent practical experience.