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Build and maintain CNP Assurances’ data infrastructure, enriching the Datalake and collaborating with Data Scientists to deliver innovative use cases using AWS, Python, Spark, and Snowflake.
Build and maintain SaaS web apps that embed analytics and AI (ML, generative, agents) on AWS, collaborating with data scientists and cloud engineers.
Build and scale a cloud-native data platform on AWS, driving real-time analytics, personalization, and AI-powered data products for millions of users.
Senior DevOps Engineer designs and maintains cloud infrastructure using Terraform and Azure DevOps, automates MLOps workflows, and ensures high availability of AI/ML platforms across AWS and Azure.
Senior DevOps Engineer builds and secures AWS and Kubernetes platforms for a deep-tech AI/robotics company, automating CI/CD pipelines and ensuring compliance with modern cloud-native practices.
Build and scale cloud infrastructure and CI/CD pipelines for a psychological science startup integrating generative AI and ML, ensuring reliability, security, and rapid product delivery.
Build and scale cloud infrastructure and CI/CD pipelines for a behavioral-science AI platform, deploying ML models and ensuring reliability, security, and observability across AWS/GCP/Azure.
Build and deploy classical ML models (regression, classification, clustering) in Python to solve manufacturing, asset-downtime, churn, and geospatial problems for private-equity clients.
Design and maintain scalable data pipelines and architecture for a fast-growing ecommerce company, using Python, SQL, and cloud services like AWS/Azure.
Design and deploy generative AI solutions for enterprise customers using Amazon Bedrock and SageMaker, shaping AWS GenAI GTM strategy.
Build and deliver AI/ML systems using Python/Java, agentic frameworks (LangChain), and cloud tools to create scalable, secure production solutions for JPMorganChase’s AI initiatives.
Design and deploy production-grade AI systems for clients, owning end-to-end architectures, prototypes, and technical standards while guiding engineering teams and advising on LLM stacks and cloud platforms.
Design and build serverless AWS data pipelines for real-time lottery analytics, integrating marketing tech and gaming platforms using Python, Lambda, Kinesis, and DynamoDB.
Principal Architect designs scalable generative AI platforms on AWS, creating end-to-end architectures and guiding teams to deploy secure, cost-efficient AI solutions in a hybrid work model.
Lead the end-to-end development of AI-powered commercial and medical products for oncology, including GenAI tools and predictive models, to drive measurable field adoption and patient outcomes.
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and MLOps pipelines to accelerate therapeutic research.
Senior ML Engineer builds and scales recommendation systems, productionizing models with PySpark, Airflow, and AWS SageMaker for real-time and batch inference.
Join the Amazon Web Services (AWS) Finance team! Amazon seeks a Senior Financial Analyst to play a key role on our AWS Specialist and Partner (ASP) Finance team supporting the Worldwide Specialist Organization (WWSO).…
Build, deploy, and monitor ML models and AI systems (including multi-agent setups) to predict customer behavior and power financial products at a LATAM fintech platform.
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