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I'm seeking a senior-level engineering professional to build a multi-tenant, AI-driven SaaS platform focused on real-time data scanning. The platform will also incorporate policy enforcement, compliance, and secure data delivery at scale. Key Requirements: - Real-time data scanning capabilities - Policy enforcement and compliance integration - Secure data delivery mechanisms - Multi-tenant architecture Ideal Skills and Experience: - Expertise in AI and ML - Strong background in DevOps - Proficient in software development - Experience with multi-tenant SaaS platforms - Knowledge of data security and compliance regulations Looking for someone who can ensure robust performance, scalability, and security. More Skillset Snapshot below Core Platform Required Skills • Backend Development: Python or Go (4+ years). • API Gateways: NGINX, Envoy, Kong, or cloud-native gateways. • Policy Engines: Experience with OPA/Cedar or policy-as-code frameworks. • Databases: Postgres (RLS), Redis; vector databases (pgvector, Pinecone) a plus. • Cloud & Containers: Docker, Kubernetes, Helm charts. • Security & Compliance: Encryption (KMS), TLS, GDPR/FERPA familiarity. Nice-to-Haves • Experience with event-driven architecture (Kafka, Pub/Sub, EventBridge). • Knowledge of SaaS billing (Stripe) and RBAC implementation. • Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry). DevOps skills • Containers & Orchestration: Kubernetes, Helm, Docker. • Infrastructure as Code: Terraform or equivalent. • Observability: OpenTelemetry, Prometheus, Grafana, ELK. • Security: KMS-based encryption, TLS cert management, WORM storage. • Cloud Platforms: AWS/GCP/Azure (multi-cloud experience preferred). Nice-to-Haves • Familiarity with API Gateway performance tuning. • Experience in SaaS multi-tenant deployments (RLS or schema-per-tenant). • Background in FinOps/billing event pipelines. AI /ML , Data DLP Skills • ML Frameworks: PyTorch, HuggingFace Transformers, TorchServe. • NLP/DLP Techniques: Text classification, NER, embeddings, vector search. • OCR & Parsing: Tesseract, AWS Textract, Google Doc AI, or Azure Form Recognizer. • Data Engineering: Pipelines with Kafka, Pub/Sub, or EventBridge. • Deployment: ML model serving in production (GPU acceleration optional). Nice-to-Haves • Experience with SaaS AI platforms (SageMaker, Vertex AI). • Knowledge of compliance-focused ML (privacy-preserving AI, data minimization). • Background in vector DBs (pgvector, Pinecone, Weaviate).
Project ID: 39733393
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24 freelancers are bidding on average $4,256 USD for this job

I am an experienced AI and ML engineer with expertise in developing multi-tenant SaaS platforms. With a strong background in DevOps and software development, I can ensure robust performance, scalability, and security. Proficient in Python and Go for backend development, I am also well-versed in API gateways, policy enforcement, and cloud-native technologies. My knowledge of AI and ML frameworks and data engineering will enable me to deliver a cutting-edge solution for real-time data scanning and secure delivery at scale.
$5,000 USD in 30 days
8.2
8.2

⭐⭐⭐⭐⭐ Build Your Multi-Tenant AI-Driven SaaS Platform with Expert Support ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a senior-level engineer to build a multi-tenant, AI-driven SaaS platform for real-time data scanning. You need not look any further; Zohaib is here to support you! My team has successfully completed 50+ similar projects focused on AI and SaaS solutions. I will ensure your platform includes robust data scanning, policy enforcement, and secure data delivery while staying within budget. ➡️ Why Me? I can easily build your multi-tenant SaaS platform as I have over 5 years of experience in software development, specializing in AI, DevOps, and cloud solutions. My expertise includes backend development, API integrations, and compliance regulations. Additionally, I have a strong grip on cloud platforms and container orchestration, ensuring a scalable and secure solution. ➡️ Skills & Experience: ✅ Python or Go Development ✅ API Gateways (NGINX, Envoy) ✅ Policy Engines (OPA/Cedar) ✅ PostgreSQL and Redis ✅ Docker & Kubernetes ✅ Encryption and Compliance ✅ Infrastructure as Code (Terraform) ✅ Event-Driven Architecture (Kafka) ✅ Observability Tools (Prometheus) ✅ ML Frameworks (PyTorch) ✅ Secure Data Delivery ✅ Multi-Tenant Architecture Waiting for your response! Best Regards, Zohaib
$3,400 USD in 2 days
7.6
7.6

Hi there, I’d be glad to help architect and build your AI-driven, multi-tenant SaaS platform with real-time data scanning, policy enforcement, and secure delivery. With a strong background in backend development (Python/Go), Kubernetes-based DevOps, and SaaS compliance (GDPR/FERPA), I can design a scalable foundation that balances speed, security, and tenant isolation. The platform will integrate policy engines (OPA/Cedar), RLS-enabled Postgres with Redis caching, and cloud-native API gateways to enforce compliance at scale. For AI/DLP, I’ll leverage PyTorch + HuggingFace models with OCR/NLP pipelines, vector databases (pgvector/Pinecone), and streaming ingestion (Kafka or Pub/Sub) for low-latency classification and monitoring. Deliverables will include a production-grade multi-tenant architecture with role-based access, observability (Prometheus/Grafana), encrypted storage (KMS, TLS), and CI/CD pipelines (Terraform + Helm). You’ll receive a system that’s secure, reliable, and ready to evolve as usage and compliance requirements grow. Best regards, Brian
$4,000 USD in 7 days
0.0
0.0

India
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Member since Jan 15, 2013
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