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Sequoia-backed brand, mid-level role, metro Hyderabad, and broad GenAI skills increase applicant competition.
Specialized ML/AI skills and model deployment focus limit cross-industry transferability.
Explicit 3–5 years requirement and specific ML/GenAI technical stack make filters strict.
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Develop, deploy, and maintain ML models and AI solutions in production environments across industries.
Design enterprise AI systems using LLMs, retrieval-augmented generation, knowledge graphs, and multi-agent orchestration.
Collaborate with clients and stakeholders to translate business problems into scalable AI-driven applications and ensure ethical AI practices.
3-5 years of relevant machine learning experience.
Strong programming skills in Python and GenAI frameworks including prompt engineering on foundation models.
B. Tech (Tier-1) / M.S. or M. Tech preferred in Computer Science, IT, or related fields.
Experience with deployment of models via APIs, microservices, and cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI).
Experienced in scaling prototypes to enterprise-grade AI applications with focus on model reliability and experimentation.
Proficient in modern AI/ML technologies including NLP, computer vision, generative AI, and cloud-native AI solutions.
Skilled at integrating AI models into existing enterprise systems and adhering to responsible AI principles.