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Tier-1 brand, metro location, mid-level AI role, and broad LLM/MLOps requirements increase applicant competition.
AI/ML specialization is transferable across industries but still requires specific model and MLOps experience.
Explicit 2-5 years requirement plus mandatory Python, LLM, MLOps and AI model experience raises filtering strictness.
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Design, develop, deploy, and fine-tune machine learning and AI models including Generative AI applications using Large Language Models (LLMs).
Build AI-powered solutions such as chatbots, copilots, recommendation systems, and intelligent automation tools integrated with enterprise applications and cloud platforms.
Implement MLOps practices for model deployment, monitoring, versioning, and lifecycle management, ensuring AI solutions meet performance, reliability, security, privacy, and ethical standards.
2-5 years of experience as an AI Engineer with expertise in Python and AI tools/libraries.
Proficiency in coding and AI model development including working knowledge of Generative AI and LLMs.
Experience with integrating AI solutions with APIs and cloud platforms.
Work Experience Required: 2-5 years
Experienced in cross-functional collaboration with data scientists, software engineers, and business stakeholders to translate requirements into technical AI solutions.
Proficient in applying MLOps best practices and adhering to security, privacy, and ethical AI guidelines.
Comfortable conducting AI technology research and creating technical documentation and architecture diagrams.