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Build and deploy ML models (recommendation, fraud) and explore LLM use-cases to improve cultural-offer discoverability for millions of young users.
Build and maintain a modern data platform (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability, and observability while supporting internal data products and AI workloads.
Senior Data Platform Engineer builds and runs a modern data stack (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability and security while enabling AI use cases and internal data products.
Build and maintain data pipelines and fraud-detection systems for a fintech platform, using Python, GCP, and Airflow to support banking compliance and regulatory reporting.
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
Builds Python back-end services and AI pipelines for an enterprise GenAI assistant using FastAPI/Flask, LangChain, and Google Vertex AI on GCP.
Builds and maintains backend services and AI pipelines for conversational agents using Python/Go, integrating LLM APIs (Gemini/Vertex) and social data sources to power Ipsos Synthesio’s social intelligence platform.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Lead backend and data engineering for a deterministic AI RAG platform, building scalable FastAPI services, Apache Beam pipelines, and optimizing Google Cloud Spanner with graph queries and Temporal workflows.
Build and deploy AI-powered data pipelines and ML models for client marketing analytics using Python, Airflow, and BigQuery, then visualize insights in Power BI or Looker.
Build and maintain distributed data pipelines and cloud services using Python, PySpark, and AWS (Glue, Lambda, ECS) to deliver reliable, high-performance data APIs and integrations.
Design and operate a secure, GDPR-compliant data lake for identity verification and AI research, building storage, APIs, and orchestration tools that handle sensitive biometric and KYC data at scale.
Build and optimize data pipelines for an aerospace-industry client’s global Data Platform, refactoring Python/Spark jobs to cut costs and adding observability dashboards for FinOps.
Build and optimize data pipelines using Python, SQL, FastAPI, and Google Cloud tools, while experimenting with AI to enhance workflows and drive business impact.
Lead a backend and data engineering team to build a zero-hallucination AI platform using Python, Apache Beam, FastAPI, and Temporal on Google Cloud Spanner and graph databases.
Designs and deploys Python-based backend services and LLM pipelines on GCP, building REST APIs that connect internal and external data sources.
Builds and deploys robust APIs in Python with FastAPI and CI/CD pipelines, collaborating with client teams to enable scalable infrastructure.
Build and maintain the internal DevOps platform for a visual collaboration SaaS, automating CI/CD pipelines, GitOps workflows, and cloud infrastructure to keep product releases fast and reliable.
Build and automate CI/CD pipelines, deploy full-stack applications, and maintain cloud-based data/ML platforms for satellite operations and industrialization at a space systems leader.
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