Back
Mid-level ML/AI role with niche LLM/agentic requirements and smaller employer reduces but doesn't eliminate competition.
Specialized ML/AI and agentic architecture skills limit cross-industry portability.
Explicit 3+ years plus specific LLM, deployment, and langgraph requirements enforce moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable machine learning systems and services, including APIs and data pipelines.
Implement and manage production deployment of transformer-based large language models, ensuring reliability and scalability.
Collaborate with infrastructure and cross-functional teams to optimize ML workflows and improve system performance.
3+ years experience designing multi-component technology systems.
Proficiency in Python and general knowledge of SQL and database design.
Experience with machine learning model deployment and infrastructure collaboration.
Understanding of ML testing fundamentals and prior involvement in managing and executing technology products.
Experience with Generative AI approaches and building agentic architectures using libraries like langgraph.
Familiarity with deploying large and small open source LLMs in production using containerization tools such as Docker.
Experience with cloud platforms (AWS, GCP, Azure) and working in high-volume, always-on web applications or startup environments.