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Tier-1 brand, popular GenAI role, and metro location increase applicant competition.
Core GenAI integration and model deployment skills are transferable across industries but require ML specialization.
Many mandatory technical skills and compliance requirements imply strict technical filtering despite no explicit years.
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Integrate pre-trained or custom Generative AI models and APIs into enterprise platforms and applications.
Evaluate and prototype third-party AI platforms (e.g., OpenAI, Azure, AWS) to demonstrate capabilities and collect feedback.
Manage deployment, monitoring, and performance tracking of AI services while ensuring compliance with security, privacy, and data governance standards.
Proficiency in Python, JavaScript, or Java and experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or LlamaIndex.
Strong understanding of API design and integration using REST and SOAP web services.
Experience with cloud platforms like AWS, Azure, or Google Cloud Platform for deploying and managing AI applications.
Bachelor's degree in Engineering (BE/B.Tech). Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating and deploying AI models within enterprise environments, showing operational command over AI services.
Comfortable working with multiple cloud platforms and containerization tools like Docker and Kubernetes to ensure scalable AI deployments.
Capable of bridging technical and non-technical teams by clearly articulating AI concepts and ensuring adherence to ethical AI and compliance standards.