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Mid-level production ML role in Bangalore with common 4+ years and broad skillset increases competition.
Production ML, cloud, and LLMOps requirements make background moderately specific but transferable across industries.
Explicit 4+ years plus mandatory production ML, cloud, containerization and LLM tooling makes filters stringent.
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Design, develop, deploy, and maintain production-grade AI/ML systems using Python in live enterprise environments.
Own end-to-end AI solution lifecycle including model building, optimization, deployment, monitoring, and troubleshooting.
Build and manage scalable deployment pipelines, CI/CD, containerization, and cloud-based AI/ML workflows, primarily on Microsoft Azure.
4+ years of relevant experience in AI/ML system development and production deployment.
Strong proficiency in Python and ML frameworks (e.g., Pandas, scikit-learn, PyTorch/TensorFlow).
Experience with CI/CD, containerization (Docker), orchestration (Kubernetes preferred), and cloud deployment, specifically Microsoft Azure.
Location requirement: Bangalore, India. Work Experience Required: 4+ years explicitly mentioned.
Experienced in writing clean, scalable Python code suitable for enterprise-grade AI/ML applications.
Skilled in managing AI systems within client-facing or client-hosted environments with high ownership and accountability.
Familiar with modern DevOps/MLOps practices including API development, deployment pipelines, and performance optimization in production settings.