Solution Architect - AIops / MLops / Dataops

Senior xOps Specialist AIOps, MLOps & DataOps Architect

Location: Chennai, Pune

Employment Type: Fulltime - Hybrid

Experience Required: 12-15 years

Job Summary:

We are seeking a Senior xOps Specialist to architect, implement, and optimize AI-driven operational frameworks across AIOps, MLOps, and DataOps.

The ideal candidate will design and enhance intelligent automation, predictive analytics, and resilient pipelines for large-scale data engineering, AI/ML deployments, and IT operations.

This role requires deep expertise in AI/ML automation, data-driven DevOps strategies, observability frameworks, and cloud-native orchestration.

Key Responsibilities –

Design & Architecture AIOps: AI-Driven IT Operations & Automation

• Architect AI-powered observability platforms, ensuring predictive incident detection and autonomous IT operations.
• Implement AI-driven root cause analysis (RCA) for proactive issue resolution and performance optimization.
• Design self-healing infrastructures leveraging machine learning models for anomaly detection and remediation workflows.
• Establish event-driven automation strategies, enabling autonomous infrastructure scaling and resilience engineering.

MLOps: Machine Learning Lifecycle Optimization

• Architect end-to-end MLOps pipelines, ensuring automated model training, validation, deployment, and monitoring.
• Design CI/CD pipelines for ML models, embedding drift detection, continuous optimization, and model explainability.
• Implement feature engineering pipelines, leveraging data versioning, reproducibility, and intelligent retraining techniques.
• Ensure secure and scalable AI/ML environments, optimizing GPU-accelerated processing and cloud-native model serving.

DataOps: Scalable Data Engineering & Pipelines

• Architect data processing frameworks, ensuring high-performance, real-time ingestion, transformation, and analytics.
• Build data observability platforms, enabling automated anomaly detection, data lineage tracking, and schema evolution.
• Design self-optimizing ETL pipelines, leveraging AI-driven workflows for data enrichment and transformation.
• Implement governance frameworks, ensuring data quality, security, and compliance with enterprise standards.

Automation & API Integration

• Develop Python or Go-based automation scripts for AI model orchestration, data pipeline optimization, and IT workflows.
• Architect event-driven xOps frameworks, enabling intelligent orchestration for real-time workload management.
• Implement AI-powered recommendations, optimizing resource allocation, cost efficiency, and performance benchmarking.

Cloud-Native & DevOps Integration

• Embed AI/ML observability principles within DevOps pipelines, ensuring continuous monitoring and retraining cycles.
• Architect cloud-native solutions optimized for Kubernetes, containerized environments, and scalable AI workloads.
• Establish AIOps-driven cloud infrastructure strategies, automating incident response and operational intelligence.

Qualifications & Skills – xOps Expertise

• Deep expertise in AIOps, MLOps, and DataOps, designing AI-driven operational frameworks.
• Proficiency in automation scripting, leveraging Python, Go, and AI/ML orchestration tools.
• Strong knowledge of AI observability, ensuring resilient IT operations and predictive analytics.
• Extensive experience in cloud-native architectures, Kubernetes orchestration, and serverless AI workloads.
• Ability to troubleshoot complex AI/ML pipelines, ensuring optimal model performance and data integrity.

Preferred Certifications (Optional):

• AWS Certified Machine Learning Specialist
• Google Cloud Professional Data Engineer
• Kubernetes Certified Administrator (CKA)
• DevOps Automation & AIOps Certification