AI/ML Ops Engineer

As an AI/ML Ops Engineer at our company, you will play a crucial role in designing, developing, and deploying AI/ML models to enhance anomaly detection, incident prediction, and root cause analysis. Your responsibilities will include integrating AIOps solutions with various monitoring tools, collaborating with cross-functional teams to identify automation opportunities, and building scalable data pipelines for processing diverse data sources. Additionally, you will implement NLP techniques for log analysis, apply advanced analytics for predictive modeling, and contribute to the development of actionable operational insights through dashboards and visualizations. Key Responsibilities: - Design, develop, and deploy AI/ML models for anomaly detection, incident prediction, and root cause analysis. - Integrate AIOps solutions with monitoring tools such as Splunk, Datadog, Prometheus, and AppDynamics. - Collaborate with SREs, DevOps, and IT teams to identify automation opportunities and operational pain points. - Build and maintain scalable data pipelines to process logs, metrics, and events from diverse sources. - Implement NLP techniques for log analysis and intelligent alert correlation. - Apply time-series analysis, anomaly detection, and predictive modeling techniques. - Continuously evaluate and retrain models to ensure optimal performance. - Contribute to the development of dashboards and visualizations for actionable operational insights. Qualifications Required: - 3+ years of experience in AI/ML engineering, preferably in IT operations or DevOps environments. - Strong programming skills in Python; experience with AI Python SDKs and GenAI implementations. - Proficiency with cloud platforms: AWS, Azure, or GCP. - Hands-on experience with containerization and orchestration: Docker, Kubernetes. - Familiarity with AIOps platforms such as Dynatrace. - Experience with Agentic AI project planning and text embedding manipulation. - Solid understanding of JavaScript UI frameworks: React, Angular. - Demonstrable knowledge of debugging, problem-solving, and working in fast-paced, collaborative environments. - Knowledge of ITSM/ITIL processes is a plus.,