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Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale…
SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is…
Voyager (94001), India, Bangalore, Karnātaka Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader…
Senior Data Scientist generating medical insights and forecasts from longitudinal clinical datasets (genomics, imaging, labs) at a membership-based healthcare practice, using Python, SQL, Snowflake, dbt, and Omni Analytics.
We’ve come a long way since we first opened our doors, but our mission has always stayed the same: to provide world class solutions for the travel industry. Travel Booster is a constantly improving ERP solution that…
Build and scale the MLOps/LLMOps infrastructure for Anaplan’s AI-infused scenario-planning platform, automating model training, deployment, and GPU-optimized inference in Kubernetes.
Lead the ML Ops team to build, scale, and secure AI/ML and GenAI infrastructure, automate deployments, and optimize cloud costs for Anaplan’s AI-infused planning platform.
Leads ML Ops infrastructure, cloud cost optimization, and GenAI/LLM deployments for Anaplan’s AI-driven scenario planning platform, managing a DevOps team while ensuring scalability, security, and financial accountability.
Зарплата: до 250000 RUR (до вычета налогов) О компании EVO AI — IT-компания в области AI-консалтинга и генеративного искусственного интеллекта. Мы разрабатываем и внедряем AI-агентов, ассистентов и комплексные…
This role involves creating and maintaining developer-facing documentation for FuriosaAI's SDK and LLM software stack using a docs-as-code approach. The engineer will build automated validation pipelines to ensure documentation accuracy against live hardware and code releases.
Develops AI agents and LLM-driven security solutions for Wiz’s cloud/AI platform, collaborating with engineering and security teams to enhance threat detection and automation.
Data Scientist supporting Medicare/Medicaid fraud, waste, and abuse detection using Python/R, machine learning, and generative AI tools on claims data for federal health programs.
Senior Data Scientist applying ML, generative AI, and agentic systems to detect and prevent Medicare/Medicaid fraud, waste, and abuse using Python, Spark, and LLM orchestration tools.
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
NTT DATA is seeking a Full Stack Developer to build and maintain scalable web applications using Angular and Java. The role involves integrating Generative AI technologies into development workflows and collaborating within an international, agile team.
Quirky Bit is seeking a Full Stack Developer to build a healthcare application featuring real-time transcription and AI-driven NLP models. The role involves working with a modern stack including React, Next.js, NestJS, and Postgres, while ensuring compliance with HIPAA and SOC2 standards.
Roles & Responsibilities Responsibilities Design and build backend services using Python and FastAPI Develop, test, and deploy GenAI applications in a production setting Build and maintain LLM pipelines (e.g.,…
Full Stack + AI Engineer role building end-to-end applications with LLM/AI integration, using Python/Go/Node.js backends, relational databases, and cloud platforms for an IT consulting and research firm in Bandung.
Design and verify custom digital hardware (RTL in Verilog/SystemVerilog) for AI/ML tensor computation units, spanning architecture through physical implementation support.
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