
Data Scientist/Architect
6 days ago
Architect & Build Full-Stack AI Solutions :
- Design and build end-to-end machine learning systemsincluding pipelines, feature stores, training/inference services, and monitoring.
- Architect scalable, modular applications that embed foundation models, retrieval-augmented generation (RAG), and agentic workflows directly into product experiencesall on Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI).
- Develop privacy-preserving ML systems that align with food industry compliance and traceability standards.
- Build explainable AI frameworks to enable business stakeholders to trust and validate model outputs.
- Design AI architectures that deliver tenant-aware intelligence while ensuring strict data isolation and performance SLAs across our multi-tenant SaaS platform.
Hands-On Engineering :
- Develop robust data pipelines using BigQuery, Dataflow, and Apache Beam.
- Train, tune, and deploy ML models using TensorFlow, PyTorch, and Scikit-learn.
- Build full-stack AI-native applications with Python, Java, React/Angular, and GCP-native services.
- Implement robust MLOps pipelines that ensure reproducible training, CI/CD deployment, cost-efficient scaling, and real-time model monitoring.
Requirement :
- 10+ years in software/ML engineering; 5+ years leading architecture and engineering teams.
- Proven experience building production-ready AI/ML pipelines and applications end-to-end.
- Expertise in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.
- Experience operationalizing LLMs for enterprise use cases: hallucination reduction, security, cost optimization, and monitoring.
- Track record of shipping high-quality intelligent products quickly and at scale.
- Strong team leadership, communication, and cross-functional collaboration skills.
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