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Lead verification of high-speed DSP pipelines for Google’s TPU AI accelerators, ensuring pre-silicon models match physical silicon behavior using SystemVerilog/UVM and emulation.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Build and scale high-throughput data pipelines and AI-driven marketing infrastructure for a global travel subscription platform, using Python, SQL, dbt, Dagster, and Google Cloud.
Builds production-grade AI workflows for enterprise customers using Gemini models and Vertex AI, embedding with clients to solve integration and data challenges.
Design and deploy AI, ML, and computer vision systems to automate quality control and process optimization in automotive manufacturing, using Python, GCP, and generative AI tools.
Design and manage GCP infrastructure and Salesforce deployments, building CI/CD pipelines with Kubernetes, Docker, GitHub Actions, and Jenkins while integrating microservices and AI/ML services.
Senior Data Engineer builds and optimizes large-scale data pipelines on GCP, focusing on BigQuery, Dataflow, and real-time processing to support analytics and reporting.
Build and maintain scalable data pipelines and ML models to power Kogan.com’s eCommerce operations, enabling data-driven decisions across marketing, logistics, and finance.
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Build and maintain scalable data pipelines and AI systems using Python, SQL, NLP, and LLM technologies to support data-driven decision-making and GenAI solutions.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Builds and scales the backend services for a high-performance generative AI platform, optimizing compute, storage, and networking for enterprise-grade ML workloads.
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Entry-level AI Data Engineer builds cloud-native data pipelines and automation for cybersecurity SOC operations using AWS, Python, and IaC tools like Terraform.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js/Python/.NET, SQL/NoSQL) while leveraging AI coding assistants daily.
Build full-stack web apps and integrate AI features using modern stacks, AI coding assistants, and LLM APIs to deliver enterprise solutions.
Build and deploy full-stack AI applications using Anthropic's Claude ecosystem, including agentic systems, RAG pipelines, and MCP integrations, while working embedded with clients to take AI products from idea to production.
Build and deploy AI-driven travel systems: optimize airline networks, automate agency workflows, and enhance retailing using ML, GenAI, and MLOps on GCP.
Build full-stack Python/React apps and AI-powered data-management tools on GCP for HSBC’s corporate compliance and risk systems.
Build and deploy ML models and data pipelines to optimize user journeys, paywalls, and commercial funnels for a premium Swiss media group.
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