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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 run large-scale, cloud-native systems that power Adobe’s AI features, including ML inference infrastructure, container orchestration, and automated patch management across AWS, Azure, and GCP.
Lead an agile team building AI/ML and business intelligence solutions for a Federal Regulatory agency using Python, AWS SageMaker, and Power BI.
Build and deploy ML models in Azure, containerize them with Docker, and automate pipelines using GitHub Actions to scale analytics across Coca-Cola’s global operations.
Job Description Summary We are looking for a highly skilled Senior Staff AI & Cloud Solution Architect to lead the design and development of scalable AI platforms and intelligent solutions on AWS. This role…
Build and optimize scalable data pipelines and lakehouse architectures using Databricks, Spark, Kafka, and Airflow to power analytics, ML, and newsroom workflows at a major media company.
Build and own backend services for FOX’s emerging-media platforms, using Go/Python/TypeScript and cloud-native stacks to power newsroom workflows, content discovery, and audience engagement.
Design and implement generative AI and machine learning solutions for AWS customers, focusing on Amazon Bedrock, SageMaker, and agentic AI workflows.
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic AI systems while translating business needs into technical solutions.
Build and deploy AI/ML models and data pipelines for a large financial-services company, integrating predictions into member-facing services using Python, SQL, Java, and cloud platforms like AWS.
Build and deploy AI/ML models and GenAI applications, including sentiment analysis and agentic AI, using Python, SQL, and cloud platforms like AWS SageMaker.
Principal Staff Engineer builds and optimizes exabyte-scale data platforms for LLMs, RAG, and agentic AI systems that power CrowdStrike’s AI-native cybersecurity products.
Design and advise customers on AI/ML solutions using AWS services like SageMaker and Bedrock, building GenAI pipelines and ML architectures for enterprise adoption.
Build and deploy scalable, secure machine learning systems and recommender engines using Python, PyTorch, and AWS SageMaker to power Thomson Reuters’ AI-driven products.
Build and deploy AI agents that automate workflows in game studios, integrating with enterprise systems and applying RAG/prompt-chaining for knowledge-aware automation.
Job Description Summary: We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this…
Build and deploy data science solutions for UK public or private sector clients, leveraging statistical modeling and machine learning.
Build and maintain the ML platform that deploys, monitors, and scales AI models for Hadrian’s autonomous factories, using MLflow, Dagster, EKS, and FastAPI.
Build and deploy ML and GenAI models for security, anomaly detection, and developer tools at a DevSecOps platform company.
Build a new digital GI care product from scratch using React Native, TypeScript, GraphQL, and AI integrations, launching features for millions of users in a regulated healthcare setting.
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