On-siteDirect career pageEst. 12–25 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Own AI/ML solutions from data preparation and model development through deployment, monitoring, and performance optimization.
- Build enterprise Generative AI applications, including LLM-based workflows, RAG, copilots, chatbots, and virtual assistants.
- Deliver production-ready integrations through APIs and microservices, with attention to scalability, security, compliance, and responsible AI.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD
- Role requires developing AI/ML models and solutions, including predictive, classification, recommendation, NLP, and foundation-model/LLM use cases.
- Role requires implementing Generative AI and RAG solutions, and deploying and monitoring models using MLOps practices.
- Role requires building APIs or microservices and integrating AI services with enterprise systems or cloud platforms.
Ideal Candidate Profile
- Best suited to someone who can take AI solutions end to end—from dataset preparation and experimentation to production deployment and ongoing monitoring.
- Likely to fit candidates with a strong applied Generative AI focus, especially LLM fine-tuning, RAG, prompt frameworks, and enterprise assistants.
- A good fit for someone oriented toward production-grade enterprise AI, where model reliability, drift, scalability, security, compliance, and governance matter.