Back
Tier-1 brand, mid-level ML role, Bangalore metro and broad LLM/cloud skillset create high applicant competition.
Core ML/LLM and cloud skills are transferable, though healthcare domain experience is a modest preference.
Multiple explicit years and mandatory cloud, LLM, C#/.NET and CI/CD requirements enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy scalable AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures in production environments, primarily on cloud platforms like Azure.
Build and maintain APIs and secure software systems using Python, C#, .NET, SQL, and modern engineering practices, including CI/CD pipelines and containerization.
Lead and mentor engineers, collaborate with stakeholders on data analysis, ensure code quality and security, and provide production support adhering to SLAs.
3+ years of Python programming experience.
2+ years of experience in C#/.NET software engineering and testing.
2+ years experience deploying and managing ML models on cloud platforms such as Microsoft Azure or other cloud platforms.
1+ years experience with Terraform scripting and CI/CD tools like GitHub Actions.
Experienced with large-scale AI/ML production deployments involving LLMs and generative AI techniques, with expertise in agentic AI frameworks like LangGraph and LangChain.
Strong background in building cloud-native AI/ML systems using modern devops and containerization techniques, comfortable with multidisciplinary engineering stacks including Python and .NET.
Capable of mentoring and leading engineers, communicating technical concepts effectively to diverse audiences, and managing critical production support issues within SLA constraints.