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Senior Data Scientist, Production ML & Pipelines (Remote)
Build and maintain production ML models and data pipelines in a cloud-native environment using Python, SQL, and AWS SageMaker.
Senior Data Scientist - Remote ML Pipelines & Impact
Build and deploy production ML models on AWS SageMaker, design data pipelines, and collaborate with teams to deliver scalable AI solutions in a cloud-native environment.
Remote Senior Data Scientist – Production ML & Pipelines
Senior Data Scientist builds and maintains production ML models and data pipelines in a cloud-native environment using AWS SageMaker or similar.
Senior Data Scientist: Production ML & Cloud Pipelines
Build and deploy production ML models and cloud pipelines using Python, SQL, and AWS SageMaker for enterprise clients.
Senior Data Scientist - Remote, Flexible ML Pipelines
Build and deploy production ML models on AWS SageMaker, designing data pipelines and collaborating with engineering to scale AI solutions in a cloud-native environment.
Senior Data Scientist — Remote ML & Production Pipelines
Senior Data Scientist builds, deploys, and maintains production ML models and cloud-native pipelines using Python, SQL, and AWS SageMaker or similar platforms.
Lead Data Engineer ID71008
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
Senior Data Engineer (LATAM)
Design and build cloud-native data pipelines and warehouses in Snowflake, DBT, Airflow, and Terraform to power analytics and AI for clients across finance, healthcare, gaming, and retail.
Senior Data Engineer
Senior Data Engineer designing scalable, event-driven data architectures and cloud cost optimization for enterprise clients, primarily in finance, using Python, Spark, AWS, and Kubernetes.
Senior Data Engineer
Senior Data Engineer designing scalable, event-driven data architectures and cloud cost optimization in AWS for enterprise analytics and ML pipelines.
SR MLOps Developer (Python), Colombia
Build and deploy Python-based ML Ops systems on AWS to optimize costly third-party verification API calls for a mortgage-tech client, reducing expenses via intelligent routing and real-time decision pipelines.
Data & ML Infrastructure Engineer
Build and maintain a cloud-agnostic data and ML platform for scalable, reproducible model training and deployment across multiple products, ensuring reliability, cost-efficiency, and EU compliance.
GenAI Data Engineer (ID: 3550)
Design and maintain scalable ETL/ELT pipelines in Azure to feed GenAI and LLM applications, ensuring data quality, governance, and GDPR compliance.
Senior Backend Engineer (.NET & AI/ML)
Build and maintain .NET backend services and AI/ML features for a real-estate platform, including gRPC APIs, vector search, and LLM-powered personalization integrated with SQL Server, MongoDB, and Elasticsearch.
Principal Software Developer
Principal Software Developer builds scalable, AI-powered financial platforms at Intuit, integrating AI tools like SageMaker and LangChain to enhance TurboTax, Credit Karma, and QuickBooks.
AI Engineer/ Machine Learning Engineer
Build and deploy ML models for HR tasks like candidate screening and talent matching, using Python and cloud platforms (AWS/GCP).
AI Engineer - Data Science
Build and deploy multi-step LLM agents and RAG pipelines on AWS to automate insurance processes, using LangChain, LangGraph, and Langfuse for observability.
AI Engineer - Data Science
Build and deploy multi-step LLM agents and RAG pipelines on AWS to automate insurance workflows, using LangChain, LangGraph, and Langfuse for observability.
Data Engineer – AI & Data Products
Build cloud-native data pipelines and AI/ML feature stores for a large insurer, using Python, Spark, and cloud platforms to power analytics and GenAI use cases.
Solutions Architect (AI)
Designs and deploys enterprise-scale AI/ML and generative AI solutions, integrating LLMs, RAG pipelines, and MLOps into existing systems while ensuring security, governance, and scalability.