Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Data Scientist II, ML Infrastructure”. A match may be a passing mention rather than the job itself. Titles only.
72 roles · group by role · page 1 of 3
…We are looking for an experienced and highly capable Data & Applied Scientist to help us drive step function improvements in our ML capabilities at…
…Data at Brex The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data…
…reporting Design ML pipelines for anomaly detection, forecasting, and trend analysis over structured and semi-structured business data Partner with scientists, analysts, and PMs…
…reporting Design ML pipelines for anomaly detection, forecasting, and trend analysis over structured and semi-structured business data Partner with scientists, analysts, and PMs…
…Collaborate closely with product managers, data scientists, and infrastructure engineers to deeply understand business needs and create impactful ML applications. Push the envelope on…
…expertise in RAG, DAG, MCP, ACP, agentic evaluations, AWS infrastructure (Lambda, DynamoDB, CDK), and data modelling for both relational and non-relational systems. You…
…equivalent, or experience in a ML or data scientist role with a large technology company - Experience with AI/ML technologies - PhD in Computer Science…
…Applied Scientists, and Technical Artists at Amazon Robotics. We build the simulation infrastructure that powers Physical AI development, from photorealistic synthetic data to GPU…
…Key job responsibilities AI-Native Infrastructure & Real-Time Processing · Design and architect AI-native infrastructure supporting real-time data processing for AI/ML inference…
…from model experimentation to app development and infrastructure. Collaborate with top-tier engineers, data scientists, and sales operators in a fast-moving environment. Minimum…
…As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security at scale…
…You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Sagemaker, DynamoDB, S3, ClaudeCode), various…
…You'll collaborate closely with applied scientists, data engineers, and security engineers to translate research into scalable, production-grade ML services on AWS. Key…
…In this role, you'll help us create the right Data and ML infrastructure. As a Data Engineer, you will provide technical leadership, lead…
…Operations (MLOps) Preferred qualifications, capabilities, and skills Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development Familiarity with relational databases (e…
…You'll own components end-to-end, from design through delivery and on-call operations, and work closely with the ML scientists and platform…
…You'll own components end-to-end, from design through delivery and on-call operations, and work closely with the ML scientists and platform…
…Reusable labeling pipelines, evaluation frameworks, and inference infrastructure that hold up against Amazon-sized data and get adopted by teams who did not have…
…Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience collaborating with data scientists
…Experience working on Cloud and ML products. Experience in back-end system development and familiarity with common Google Infrastructure. Experience with OSS AI/ML…
…You will partner closely with AI Researchers and Data Scientists to move prototypes into optimized, reliable solutions. You will grow your influence by mentoring…
…We are seeking a Data Scientist II to join our Digital Intelligence team. In this role, you will develop machine learning features, analytical methods…
…Partner with BIEs and scientists to provide clean, production-ready datasets. - Scalable Solutions: Build and optimise data infrastructure to support the processing of structured…
…Developers, Data Scientists, and business stakeholders to deliver data solutions - Participate in code reviews, design discussions, and provide technical leadership - Apply AI/ML technologies…
…HANDSHAKE AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training…