Back
Metro locations, mid-level experience, and broad GenAI skillset increase applicant competition.
Specialized GenAI, LLM, and MLOps expertise reduces cross-industry transferability.
Explicit 5+ years, generative AI and Azure/LangChain/MLOps requirements enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy AI, ML, and Generative AI solutions including chatbots, copilots, AI agents, and retrieval-augmented generation (RAG) applications.
Develop and optimize AI prompts, models, workflows; integrate AI services with enterprise applications and data sources.
Monitor and improve model performance, ensure security, compliance, Responsible AI adherence, and adopt emerging AI technologies.
5+ years of experience in AI/ML, Generative AI, software development, or data engineering.
Hands-on experience with Generative AI technologies and cloud deployment (Azure OpenAI, Azure AI Foundry, Azure Machine Learning).
Strong skills in Python, SQL, Machine Learning, Deep Learning, NLP, LangChain, LlamaIndex, Hugging Face.
Experience with vector databases (FAISS, Pinecone, ChromaDB), REST APIs, Microservices, Docker, Kubernetes, Git, CI/CD, MLOps, and working across multiple Indian locations (Hyderabad/Bangalore/Chennai/Kolkata/Noida/Gurgaon/Pune/Indore/Mumbai).
Experienced engineer focused on end-to-end AI solution development and deployment in enterprise/cloud environments.
Familiar with integrating AI-driven features into business applications and collaborating with cross-functional teams including architects and stakeholders.
Proficient with latest Generative AI frameworks and operational best practices including model monitoring, troubleshooting, and Responsible AI standards.