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Tier‑1 brand, mid‑level generalist AI title, metro location and broad required skills increase competition.
AI engineering skills transfer across industries but require ML-specific and MLOps experience.
Explicit 2–5 years plus mandatory ML/LLM and MLOps skills indicates medium strictness.
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Design, develop, and deploy machine learning and AI models including Generative AI applications using Large Language Models (LLMs).
Develop AI-powered solutions such as chatbots, copilots, recommendation systems, and intelligent automation tools, ensuring integration with enterprise applications and cloud platforms.
Implement MLOps practices for model deployment, monitoring, versioning, and lifecycle management, while ensuring AI solutions meet security, privacy, and ethical guidelines.
2-5 years of relevant experience in AI and machine learning engineering.
Strong proficiency in Python programming language.
Experience with designing, fine-tuning, and deploying AI/ML models, particularly Generative AI and LLMs.
Location: Bangalore, Karnataka, India (onsite or hybrid depending on client requirements).
Proven experience in end-to-end AI solution development including integration with enterprise APIs and cloud environments.
Able to collaborate effectively with data scientists, software engineers, and business stakeholders to deliver technical solutions.
Familiarity with MLOps practices and ability to manage AI model lifecycle in production environments.