AI/ML developer

Skill Python, NumPy, Pandas PyTorch, TensorFlow, XGBoost Experience with LLMs (OpenAI, Hugging Face) REST APIs, Flask/FastAPI AWS MLOps (model deployment, monitoring, CI/CD) Vector DBs (e.g., FAISS, Pinecone) 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.

Created: 2026-03-10