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Associate Data Science Analyst at Mayo Clinic building predictive models and analyzing healthcare data using Python, SQL, and machine learning to support clinical and business decisions.
AiLogic Neural Network is hiring an on-site Node.js Backend Developer (1–2 years) in Hyderabad to build and maintain scalable backend services and REST/GraphQL APIs. Core stack includes Node.js, TypeScript, microservices, PostgreSQL/MS SQL, Redis, BullMQ, and RabbitMQ/Kafka.
EVERPOWER.AI is hiring an on-site UI/UX Product Designer in Tempe, AZ. The posting provides minimal detail, but the role centers on product design work — shaping user interfaces and experiences, likely with an AI-related focus given the company's branding.
Senior Backend Engineer at Peec AI owning the systems behind AI-visibility data infrastructure — scraping, chat processing, source ingestion, and analytics. Day to day you design queueing models, ship TypeScript services on Bun, debug provider outages, and operate GCP/Kubernetes infrastructure with Postgres, ClickHouse, Redis, and RabbitMQ.
A Senior AI Engineer leads enterprise AI projects (Generative AI, Computer Vision, Predictive AI, Big Data) as Technical Lead or PM for a global technology solutions provider, working on-site in Tokyo. Core work spans LLMs, RAG, fine-tuning, cloud AI platforms and NVIDIA AI tooling, plus mentoring engineers and client-facing solution design.
Senior Data Engineer who designs, builds, and optimizes enterprise-scale cloud data platforms (AWS/Azure/GCP, Databricks, Snowflake) on-site in Tokyo, Japan. Day to day: architect data warehouses and data lakes, build Spark/Python ETL pipelines, lead cloud migrations and PoCs, and mentor engineers for a technology solutions provider serving enterprise clients.
Hands-on Senior AWS DevOps/Platform Engineer working across AWS migrations, Landing Zone builds, Terraform IaC, Kubernetes/EKS, CI/CD and increasingly generative-AI infrastructure (AWS Bedrock) for an AI-first client. Remote across Australia; open only to Australian PR holders or citizens.
Data Scientist at mscope, a fintech applying proprietary AI to microeconomics and finance, to lead end-to-end data projects, design ML/NLP models, and mentor junior data scientists. Requires 4+ years of experience, strong Python/PySpark, statistics, big data, ML and NLP skills, and fluent Spanish and English; hybrid role based in downtown Madrid.
Senior Data Scientist working on-site at a client's offices in Abu Dhabi, UAE, as part of a ~15-person international team on a major digital transformation/AI program. Day to day: end-to-end data science — ML models, data pipelines, optimization and generative AI — mainly with Python and cloud platforms (Azure, AWS, GCP).
Dribia, a data science innovation studio in Catalonia, is hiring Data Scientists (Junior to Manager levels) to build optimization and prediction algorithms and deliver end-to-end, open-source AI/advanced-analytics solutions for client projects. Work mixes Python/statistics development, client consulting, sprint deliveries, and internal R&D.
Leads cross-functional AI-driven drug discovery projects, coordinating timelines, milestones, and resources between ML, engineering, and biology teams to advance novel therapeutics.
Research and exploit new attack vectors in AI agents, LLMs, and their ecosystems to uncover risks and shape security defenses for enterprise-scale AI platforms.
Lead the enterprise automation strategy for a regulated healthcare company, designing scalable test frameworks with Playwright/TypeScript and AI-driven tools to ensure software reliability and accelerate delivery in a mission-driven, hyper-growth environment.
Designs and secures cloud infrastructure on Azure and AWS, automating deployments with Terraform and AI to support a fast-growing, regulated pharmacy platform.
A full-stack software engineer embedded in the Superhuman Docs business unit's Developer Experience team, building internal tooling, improving CI/CD pipelines, local dev workflows, and build systems to make hundreds of weekly pull requests ship faster. Core stack includes Bazel, Kubernetes, cloud platforms, and multiple languages such as Go, Python, Java, or TypeScript.
As one of Remy's first engineers, you'll own the backend and platform infrastructure powering its AI product-design agent — building APIs, data models, and infrastructure for LLM-driven generation and agent workflows. Core stack: TypeScript, Node.js, GraphQL, AWS (AppSync, DynamoDB, ECS), Cloudflare, and Docker.
Oversee software release cycles for AI-powered defense systems, ensuring on-time, high-quality deployments by coordinating engineering, testing, and program teams.
Build and maintain the machine-learning infrastructure that trains and deploys autonomy and perception models for autonomous battery-electric rail vehicles, using cloud platforms and MLOps tooling.
Build Android apps for military drone control, integrating real-time sensor data, mapping, and secure comms using Jetpack Compose, Kotlin, and backend services in C++/Rust/Golang.
The Senior ML Engineer will develop and deploy surrogate models to accelerate physics simulations for autonomous air vehicle design. This role involves building training infrastructure, optimizing inference for engineering workflows, and collaborating with domain experts to integrate AI into hardware development.
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