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Lead the design and automation of GCP-based MLOps pipelines to deploy, monitor, and scale Python ML models using Vertex AI, CI/CD, and Terraform.
Build and maintain AI agents for image-processing systems using Python, FastAPI, and Azure, with Apache Airflow orchestration and Docker deployment.
Lead the design and implementation of enterprise AI and data platforms on GCP, building scalable, secure cloud-native solutions with Vertex AI, BigQuery, and automation while mentoring engineers and enforcing governance.
Design and deliver enterprise-grade AI systems using LLMs, RAG, agentic workflows, and cloud-native platforms while ensuring security, compliance, and scalability for Nordic customers.
Build and deploy autonomous agentic AI systems using RAG pipelines, vector databases, and multi-agent architectures on GCP to automate workflows and replace manual processes.
Build and maintain full-stack enterprise applications using Java/Spring Boot, React/Angular, and cloud-native tools on GCP, while collaborating with cross-functional teams to modernize systems.
Lead the design and governance of secure AI platforms at Singtel, embedding privacy, compliance, and explainability into AI/ML pipelines and cloud deployments.
Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
Principal Data Scientist builds and deploys large-scale AI systems, autonomous agents, and ML pipelines at Walmart, using PyTorch, LangChain, and multi-cloud platforms.
Designs and governs Stanford Health Care’s enterprise data platform, enabling AI/ML, analytics, and LLM integrations to improve patient care and research outcomes.
Projekt zakłada budowę i rozwój nowoczesnej platformy MLOps opartej na Google Cloud Platform (Vertex AI), umożliwiającej szybkie, bezpieczne i zautomatyzowane wdrażanie modeli uczenia maszynowego do środowiska…
Lead the application-security team at an edtech company, designing offensive security programs, mentoring engineers, and embedding DevSecOps practices into CI/CD pipelines and cloud infrastructure.
Design and lead enterprise AI systems (GenAI, LLMs, RAG, agents) for a real-estate firm, setting standards, platforms, and governance while ensuring scalable, secure deployments.
Build full-stack web apps that embed generative AI features—modern UIs, conversational agents, and LLM APIs—while shipping secure, scalable backends on Azure or Google Cloud.
Build and refine an agentic AI platform for healthcare finance, designing standardized tool interfaces, eval harnesses, and context layers to power reliable, production-grade AI agents.
Senior AI Engineer builds and deploys multi-agent AI systems for ad targeting, user segmentation, and real-time bidding on GCP, using LangGraph/AutoGen and prompt engineering to drive measurable marketing outcomes.
Senior Data Scientist at a fast-growing fintech builds and deploys ML models to improve customer understanding, product decisions, and member acquisition/retention using Python, SQL, and cloud tools.
Senior Software Engineer applying ML/AI to fintech problems like fraud detection, user conversion, and transaction processing using Java, Scala, and GCP.
Designs and implements AI-driven commerce solutions for clients, integrating agentic AI to enhance customer experiences and business growth.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
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