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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.
Builds time-series and ML models to forecast demand and optimize Comcast’s supply chain, using Python, SQL, and cloud platforms like AWS SageMaker.
Build and deploy large-scale AI/ML models to optimize Amazon Prime’s customer experience using GenAI, LLMs, and reinforcement learning on TB-scale data.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their technical capabilities and business success. You…
Build and maintain governance features for Amazon SageMaker, a managed ML platform, focusing on scalable cataloging, lineage tracking, and lifecycle management for enterprise customers.
Build and deploy AI models and systems for legal-industry software, using Python, LLMs, and cloud AI services to integrate generative AI into enterprise applications.
Builds AI-powered physical-system prototypes for customers, integrating generative AI, robotics, and simulation with AWS services like Bedrock and SageMaker.
Build ML models and graph systems to rank security risk across Amazon’s applications, using SageMaker, Neptune, and AWS pipelines to prioritize vulnerabilities at scale.
Leads the enterprise AI platform architecture at a pharmaceutical company, defining standards for RAG pipelines, agentic AI, FinOps, and security while ensuring compliance with regulated environments.
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and deploying robust MLOps/AgentOps systems in a biotech R&D environment.
The AI Boost & Consultancy team is Telenet's internal catalyst for AI-driven transformation. Our mission is to become Telenet's trusted partner for accelerating AI value creation. Our team goes into the…
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
Build foundational AI agent components for AWS business apps, designing scalable architectures, reusable AI modules, and evaluation systems to power enterprise-scale AI solutions.
Design and advise on scalable, cloud-native GenAI and Agentic AI architectures for AWS customers, integrating LLMs, RAG, and MLOps while driving adoption and best practices across industries.
Design and advise on AI/ML solutions for AWS customers, leveraging services like SageMaker and Bedrock to build generative AI applications and ML pipelines across industries.
Build and operate secure, high-performance cloud systems for government AI/ML workloads in air-gapped regions, using Linux, networking, and AWS services like SageMaker.
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