Back
Strong employer brand, mid-level experience need, and metro hiring increase competition.
AI/ML specialization reduces cross-industry transferability despite transferable fullstack skills.
Explicit 5–8 years and specialised AI/LLM, cloud, and infra requirements enforce high filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy production-ready AI infrastructure and machine learning models, including Agentic AI workflows and RAG systems for enterprise applications.
Develop and maintain full stack applications integrating AI/ML models, ensuring scalability, security, and performance.
Provide ongoing application support including troubleshooting, incident management, and stakeholder engagement for production AI systems.
5–8 years of experience in AI architecture or machine learning development.
Bachelor's degree required.
Proficiency in Python, AI/ML algorithms, NLP, Computer Vision, and cloud AI platforms such as Vertex-AI.
Experience with Docker, Kubernetes, building APIs, and data systems including SQL, NoSQL, Graph, and Vector databases.
Experienced in end-to-end AI/ML solution development from modeling to full stack integration and production support.
Skilled in advanced AI techniques including Agentic AI, Retrieval-Augmented Generation, and fine-tuning large language models (GPT, Claude, Llama).
Strong stakeholder management and agile process experience with the ability to manage global teams and complex production environments.