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 Cloud Architect will design and implement scalable cloud, data, and AI/ML architectures within the automotive and motorsport sectors. The role focuses on hybrid and multi-cloud environments using Azure, AWS, GCP, and IaC tools like Terraform and Bicep.
Software Engineer V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquartered in Bloomfield Hills, MI and…
The Staff Software Engineer will lead the design and operation of CakeAI's enterprise-scale infrastructure, focusing on Kubernetes-native systems and MLOps platforms. This role involves building infrastructure-as-code, ensuring platform reliability, and collaborating with customers to solve complex AI deployment challenges.
Cloud Architect (Data & AI) designing and implementing scalable, secure cloud architectures on Microsoft Azure with focus on data platforms, AI/ML and MLOps for a Motorsport/Automotive R&D team.
Data Engineer at Prima, an online motor insurance provider, building and maintaining data products and pipelines for the pricing and underwriting domain using Kafka, Spark, Python, and AWS.
Design, build, and operate scalable DevOps and MLOps platforms for AI/ML workloads, focusing on Kubernetes, CI/CD pipelines, IaC, and cloud infrastructure in a hybrid role based in Turin.
Senior AI Engineer designing and operationalizing ML/AI solutions—predictive models, GenAI assistants, RAG workflows, and agents—for Teradyne's IT organization, building MLOps/LLMOps pipelines and production-grade practices using Azure AI Foundry, Copilot Studio, Anthropic Claude, Vertex AI, and Snowflake.
Product Lead - Data & ML Join us as a Product Lead - Data & ML on our Product Management team in Glil Yam to do the best work of your career and make a profound social impact. What you’ll achieve As a Product…
Product Manager – Data Management Join us as a Product Manager – Data Management on our Product Management team in Glil Yam to do the best work of your career and make a profound social impact. What you'll achieve…
MLOps Analyst deploying and maintaining AI applications, bridging data science and IT operations using Kubernetes, Python, Spark, CI/CD pipelines, and orchestration tools like Airflow.
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.
About the team Digital Enablement is Nexperia's fast-track enabler of AI & Digital use-cases and platform enablement. We operate as one global practice across Nijmegen, Hamburg, Kuala Lumpur, Seremban and…
Lead AI/ML Engineer at RBC Insurance leading a team of ML engineers, designing and deploying scalable machine learning models and MLOps pipelines using Python, cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes.
Design, build, and deploy AI applications and agentic systems (LLMs, orchestration, RAG, tool use) that solve real business problems across Stingray's departments, applying strong software engineering principles.
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.
Lead the data engineering team and define the end-to-end data platform (lakehouse with medallion pattern) at Xplore, a Canadian rural broadband provider. Unify siloed data from on-prem network/OSS/BSS systems, Salesforce, and other sources while implementing governance, lineage, and compliance controls using Spark, Python/Scala, and SQL.
Build and own core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments using TypeScript/Node.js on cloud infrastructure.
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments, primarily using TypeScript/Node.js.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
