AIML developer

Job Responsibilities:

• Develop and maintain ML/AI models and services.
• Integrate LLMs into production environments.
• Work closely with data scientists and DevOps.
• Optimize model performance and deployment.
• Good Knowledge in Deep Learning Model Validation classification clustering

Key Responsibilities

Design and implement secure cloud architectures leveraging GCP services including Cloud Armor Cloud Load Balancing Cloud CDN and VPC Service Controls.

Develop and enforce security policies access controls and WAF (Web Application Firewall) configurations using Google Cloud Armor.

Collaborate with application and infrastructure teams to integrate security controls across CI/CD pipelines and deployment models.

Lead threat modeling risk assessment and mitigation strategies for GCP workloads.

Implement DDoS protection rate limiting and geo-based access controls for critical applications.

Create and maintain infrastructure security standards reference architectures and automation templates (Terraform / Deployment Manager).

Integrate logging monitoring and alerting through Cloud Logging Cloud Monitoring and Security Command Center.

Provide guidance and mentorship to development and DevOps teams on cloud security best practices.

Work with stakeholders to ensure compliance with security and regulatory frameworks (SOC2 PCI ISO 27001 etc.).

Required Skills & Experience

10 years of overall IT experience with at least 4 years in cloud architecture or security.

Strong hands-on experience with Google Cloud Platform (GCP) services:

o Cloud Armor (Security policies WAF Adaptive Protection)

o VPC Load Balancer Cloud CDN Cloud Run GKE

o IAM Service Accounts and Resource Hierarchies

Solid understanding of network security zero trust architecture and cloud-native security frameworks.

Experience with Terraform Cloud Deployment Manager or similar IaC tools.

Familiarity with security incident response and SIEM integrations.

Excellent communication and presentation skills to interface with senior technical and business stakeholders.

Preferred Qualifications

GCP Professional Cloud Architect or Professional Cloud Security Engineer certification.

Experience in multi-cloud environments (AWS Azure).

Background in DevSecOps practices and automated compliance.

Knowledge of container security (GKE Anthos) and API security frameworks.

Soft Skills

Strong analytical and problem-solving abilities.

Ability to translate complex technical topics into clear actionable recommendations.

Proactive detail-oriented and collaborative mindset.