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Build and deploy Python-based AI/data systems for enterprise clients, collaborating with ML and DevOps teams to industrialize core technologies.
Principal Software Engineer at Bislab building scalable, API-first fintech systems in C#, Python, and Azure for credit assessment and fraud detection.
Principal Data Engineer designs and scales large distributed data systems, leads engineering initiatives, and mentors teams for U.S. clients in a remote, project-based role.
Lead the design and maintenance of a secure, scalable data platform using C#, Python, Azure, PostgreSQL, and Neo4j to power risk assessment and fraud detection for fintech products.
Principal AI engineer at a fast-growing credit-risk startup; designs agentic AI products, builds data pipelines with LLMs, and owns product strategy and equity.
Principal Data Engineer designs and scales large data pipelines for U.S. clients, leading architecture decisions and engineering initiatives in a remote, project-based role.
Leads mechanical design for data-center projects, mentors junior engineers, and shapes technical strategies while collaborating with clients and multidisciplinary teams.
Lead a team to design and deliver end-to-end data & analytics solutions for enterprise clients using Java backend and Python, while owning customer relationships and engineering excellence.
Build and deploy AI/ML models to optimize airline retailing, pricing, and customer experience using Python, TensorFlow, and GCP services.
Leads a team of data engineers to design and implement complex data pipelines using SQL Server SSIS, Active Batch, T-SQL, and Go Anywhere, while mentoring junior engineers and ensuring project delivery.
Leads a team of data engineers to build and maintain data pipelines and warehouses using SQL Server SSIS, T-SQL, and Go Anywhere for a utilities-focused agency.
Designs and builds scalable backend systems and data pipelines using Java/Scala/Python, Spark, Flink, and Kafka for Akamai’s cloud platform.
Design and build scalable data pipelines and ML-ready datasets for chemical manufacturing, enabling predictive maintenance, optimization, and automation using Python, SQL, and cloud-native tools.
Design and build scalable data pipelines and analytics platforms for chemical manufacturing, enabling predictive maintenance, optimization, and AI-driven solutions using Python, Databricks, and cloud technologies.
Designs and builds Snowflake-based data pipelines and warehouses for a commercial bank, using Python, SQL, and ETL/ELT workflows.
Build and ship full-stack GenAI systems and developer tooling that power AI agents, including a flagship medical assistant for physicians, using cloud-native stacks and modern LLM patterns.
Build and maintain cloud-based ELT/ETL pipelines, orchestrate Docker/Kubernetes deployments, and automate CI/CD for a global scientific intelligence team using Python, SQL, and AWS/Azure.
Leads a cross-functional team while architecting and building event-driven microservices for an AI-native platform, requiring 12+ years of full-stack experience.
Principal AI/Full-Stack Engineer designs complex AI-driven systems, mentors the team, and collaborates with clients in a flexible hybrid/remote setup.
Lead the design and architecture of AMD’s next-gen data platforms, focusing on scalable AI/ML pipelines, lakehouse systems, and governance for high-performance computing workloads.
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