Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
The Solution Architect will design and implement cloud-based data and analytics platforms on Google Cloud Platform for Energy & Utilities clients. This role involves leading migrations, building modern data architectures, and providing technical advisory services while collaborating with cross-functional teams.
Build and maintain the AI platform infrastructure, connectors, and execution patterns that enable safe, scalable use of agentic AI systems across Alpaca's fintech brokerage APIs.
Principal AI Product Manager at consulting firm West Monroe, advising enterprise clients on embedding AI across the software development lifecycle — AI-assisted coding, automated testing, and DevOps optimization — while leading cross-functional teams and shaping product strategy. Requires 8+ years in product management and hands-on experience with AI/LLM tooling.
The Senior Architect will lead the design and delivery of enterprise-scale, AI-enabled software solutions for clients, leveraging cloud-native architectures and modern engineering practices. This role involves hands-on technical leadership, mentoring engineering teams, and driving business development through strategic consulting.
Designs and delivers enterprise agentic AI solutions on Google Cloud, leading architecture, engineering, and client advisory to move AI from experimentation to production-scale systems.
Leads DevSecOps teams to integrate security into CI/CD, IaC, and AI/ML pipelines at a global ad-tech analytics firm, ensuring secure, compliant, and efficient software delivery while specializing in AI/ML security, cloud-native security, and automation.
A senior solution architect role focused on designing and building cloud-native data platforms on Google Cloud Platform. Day to day involves architecting ETL/ELT pipelines using BigQuery, Dataflow, Cloud Composer (Airflow), Dataproc, Pub/Sub, and Vertex AI, with dbt, Python, and SQL for data transformations.
Nosso propósito é criar tecnologias que desafiam as melhores do mundo e mudam o jogo para nossos clientes. Por isso, buscamos profissionais que desejam fazer parte de uma cultura pautada pela excelência e inovação. Se…
Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers.…
Ayesa Digital busca un Data Scientist / Machine Learning Engineer para integrarse a un proyecto tecnológico donde participará en todo el ciclo de vida del dato y en el diseño, entrenamiento e implementación de modelos…
Senior Data Engineer - Performance Marketing As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with us! We're seeking an experienced Senior Data Engineer to join…
Description GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected…
GlobalLogic is working on an advisory engagement to design an AI-powered search assistant for project documentation accumulated over roughly 20 years, currently stored on an isolated, internet-disconnected file server.…
Builds and deploys small language models that enforce real-time AI governance policies, undoing harmful agent actions while optimizing for latency and cost in enterprise environments.
Designs and deploys cloud-native automation for Zscaler’s Zero Trust Exchange platform, integrating AI-driven workflows to streamline multi-cloud infrastructure provisioning, security enforcement, and lifecycle management across AWS/GCP/Azure.
Build real-time AI systems that power live customer interactions in contact centers, combining LLMs, backend services, and user-facing apps to improve efficiency and revenue.
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Design and lead end-to-end AI solutions for enterprise clients, translating business goals into scalable, production-grade AI systems while collaborating with cross-functional teams.
Design, build, and operationalize production AI/ML systems for enterprise clients, translating architectures into clean Python and SQL code, integrating with cloud data platforms and APIs, and contributing to reusable accelerators and engineering standards.
Role Overview We are looking for a Senior Manager, Data Science to lead our advanced analytics, machine learning, and AI capabilities. In this role, you will build and lead a high-performing team of data scientists and…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
