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Mid-level backend/ML roles in Bangalore with generalist requirements attract many applicants.
Model-serving backend skills transfer across industries, though industrial domain experience is somewhat beneficial.
Explicit 3-6 year band and mandatory Python/API/container skills create moderate screening rigidity.
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Develop, deploy, and maintain low-latency APIs for AI/ML models and LLM workflows supporting thousands of concurrent industrial users.
Collaborate with AI and product teams to convert complex industrial data challenges into scalable, reliable software services.
Build automated pipelines for data processing, model deployment, agent monitoring, and system health evaluation in production environments.
3-6 years of experience in Software Engineering, Backend Engineering, or DevOps.
Strong proficiency in Python programming.
Experience with modern web frameworks (e.g., FastAPI) and asynchronous task handling.
Experience with containerization and basic CI/CD pipeline implementation.
Experienced in transitioning AI/ML and LLM models from experimental to scalable production environments.
Comfortable working closely with applied scientists, AI engineers, and domain experts in industrial AI contexts.
Familiar with monitoring system performance, inference costs, and optimizing latency in high-load production systems.