AI/ML Engineer
Genesys (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 18–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and optimise production conversational AI systems, improving intent understanding, response quality, latency, reliability and scalability.
- Develop backend APIs and real-time or asynchronous AI pipelines, and deploy cloud-native microservices for high-availability operation.
- Fine-tune and optimise LLMs, then monitor and evaluate AI workflows to move research and model capabilities into production.
Minimum Requirements
- Work Experience Required: 3+ years of relevant industry experience with a bachelor’s degree; 1–2 years with a master’s or Ph.D. is listed as preferred.
- A bachelor’s degree in Computer Science, Software Engineering, Data Science or a related field; a master’s or Ph.D. is also listed as preferred.
- Python backend development; AI/ML framework experience; LLM fine-tuning and understanding of inference frameworks such as vLLM.
- Knowledge of software engineering, distributed systems, API development and microservices, plus experience with AWS, GCP or Azure.
Ideal Candidate Profile
- Has built or operated production AI services and can balance model quality with inference efficiency, latency and reliability.
- Fits work spanning applied ML and backend engineering, translating AI capabilities into scalable distributed systems.
- Experience with real-time conversational AI—such as chatbots, voice assistants or copilots—or model deployment and optimisation is a shortlist advantage.