AI/ML Support Engineer | GCP | Vertex AI | Python | ML Ops (Tech suppo

Role & responsibilities

• Troubleshoot AI/ML model, pipeline, and production issues.
• Support Vertex AI, GCP, APIs, and ML application integrations.
• Monitor model performance, data quality, and model drift.
• Analyze logs, identify root causes, and resolve technical incidents.
• Assist customers with environment setup, deployment, and configuration.
• Debug inference failures, API errors, and pipeline execution issues.
• Document known issues, best practices, and technical solutions.
• Collaborate with Engineering and DevOps teams for bug resolution.
• Manage SLA adherence and provide high-quality technical support.
• Communicate complex AI/ML concepts effectively to customers and stakeholders.
• Support 24x7 operations through rotational shifts.
• Gather customer feedback and drive continuous product improvement.

Preferred candidate profile

• 6-8 years of experience in AI/ML Support, Technical Support, Cloud Support, or MLOps environments.
• Strong hands-on experience with Python, SQL, Machine Learning, and AI/ML concepts.
• Experience working with GCP services including Vertex AI, Compute Engine, Storage, and IAM.
• Good understanding of MLOps, model deployment, monitoring, and troubleshooting.
• Exposure to TensorFlow, PyTorch, Docker, Kubernetes, GPU/TPU environments, and REST APIs.
• Ability to analyze logs, perform root cause analysis, and resolve complex technical issues.
• Experience supporting AI/ML applications, Conversational AI, or Generative AI solutions.
• Strong customer-facing communication and stakeholder management skills.
• Ability to work in a fast-paced 24x7 support environment with rotational shifts.
• Cloud certifications in GCP will be an added advantage.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field preferred.