Artificial Intelligence Engineer

Lead AI Engineer – Hyderabad (Exclusive Role)

Experience:

Budget:

Location:

Qualification:

Role Overview

Lead AI Engineer

AIOps platform development

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

  .