Artificial Intelligence Engineer

2 days ago

Jamnagar, India COZZERA INTERNATIONAL LLP Full time

Lead AI Engineer – Hyderabad (Exclusive Role) Experience: 13+ years (including 7+ years in AIOps / Cloud / DevOps) Budget: 23 LPA Location: Hyderabad Qualification: BE / B.Tech in Computer Science or related field ✅ Role Overview We are hiring a Lead AI Engineer to architect and deliver enterprise-scale AIOps , Cloud-native , and DevOps automation solutions . The ideal candidate brings deep hands-on expertise in AWS, modern data platforms, ML workflow automation, and designing AI-driven operational systems across large distributed environments. You will lead end-to-end AIOps platform development , from data ingestion to ML deployment, ChatOps integration, and intelligent incident automation for high-availability cloud infrastructures. Must-Have Technical Skills AIOps, Cloud & DevOps (7+ Years Mandatory) Proven experience building AIOps platforms , observability pipelines, and cloud automation. Strong architecture experience with AWS Cloud , especially: SageMaker (training, model hosting, pipelines) S3 , Glue , Kinesis , Lambda EKS/ECS , API Gateway , CloudWatch , Athena AI/ML Engineering Experience developing, training, and deploying ML models in cloud-native environments . Ability to design event-driven inference architectures with Kinesis, Kafka, or AWS EventBridge. Strong Python experience for: ML automation Data pipelines Infrastructure automation Model monitoring & evaluation Cloud & Container Orchestration Deep hands-on with Kubernetes , Helm charts, container lifecycle, and distributed compute. Strong understanding of multi-cloud ecosystems (AWS, Azure preferred). DevOps & CI/CD Experience with: AWS DevOps services (CodeBuild, CodePipeline) Azure DevOps Terraform / CloudFormation Versioning, release automation, GitOps flows ChatOps & AIOps Automation Hands-on experience integrating Microsoft Teams / Slack with: Incident routing Automated remediation Bot-driven operational workflows Real-time alerts & rule-based actions Large-Scale Distributed Systems Experience designing solutions for: Contact centers / telecom platforms Event-driven, high-volume data environments Fault-tolerant microservices Data Engineering Foundations Building and managing data lakes (S3 / Delta Lake / Glue Catalog). ETL pipelines, metadata governance, data quality automation. Real-time streaming with Kafka/Kinesis .

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