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.
This Senior Staff Software Engineer role leads the architectural strategy for AI developer tools and cloud infrastructure at Google. The position involves designing distributed systems, agent communication protocols, and sandboxed runtimes to support large-scale AI development.
About Tradeify Tradeify is a next-generation proprietary trading firm that funds futures traders — giving skilled traders access to real capital without the red tape. We offer evaluation-based and instant funding…
The Senior Machine Learning Engineer will design and implement end-to-end LLM and generative AI pipelines for production environments. The role involves working with cloud platforms, MLOps, and various AI frameworks to build scalable, high-quality AI solutions.
Lead end-to-end delivery of a GCP-hosted AI-powered super-app, managing Agile execution, microservices/Kubernetes architecture, CI/CD pipelines, vendor relationships, and cross-functional teams in Mumbai.
Build and deploy secure AI/ML systems using LLMs, RAG, and multi-agent frameworks for government and enterprise clients, integrating with cloud AI services like AWS GovCloud and Azure IL5+.
Lead Data Scientist driving ML solutions for clients, managing end-to-end engagements and mentoring teams. Involves deploying models with Python, cloud platforms, and MLOps tools.
Senior Data Scientist building and deploying cutting-edge ML solutions across diverse use cases, working with engineers to integrate models into production environments using Python, SQL, and cloud ML platforms like SageMaker and Vertex AI.
Design and build AI-powered features for a cloud-native test automation platform, leveraging LLMs and GCP to analyze test and production data, generate insights, and automate failure analysis.
Leads a team to build and deploy machine-learning scoring models (e.g., click and conversion predictions) using Python, TensorFlow/PyTorch, and cloud platforms like GCP.
Senior Data Scientist designs and refines ML models (e.g., CTR, CVR) for production use, collaborating with engineering teams to build scalable, low-latency solutions using cloud platforms like GCP and frameworks like PyTorch.
Lead the design and build of internal data-platform tools, Airflow-based pipelines, and AI-driven developer workflows using Python, GCP, and modern DevOps practices.
This role involves leading a software engineering team focused on developing test frameworks and content for TPU silicon validation. The manager will oversee technical roadmaps, guide system design, and collaborate with hardware teams to ensure the functionality and performance of cutting-edge AI chips.
Cloud-Native Solutions Architect designing and leading cloud-native application architectures, driving modernization to microservices/serverless, and integrating AI/LLM capabilities for a Belgian digital consultancy's client projects.
Lead the development and scaling of Overstory’s Wildfire Fuel Detection Model using AI, geospatial data, and deep learning to predict vegetation risks and reduce wildfire threats for electric utilities.
Senior Technical Consultant designing and implementing enterprise cloud platform solutions, leading cloud migrations and AI-accelerated development initiatives using AWS/Azure/GCP, Kubernetes, Terraform, and AI coding tools.
The Generative AI Engineer will develop cloud-native AI applications and build scalable RAG solutions using platforms like Azure AI Foundry, AWS Bedrock, or Google Vertex AI. This is a 12-month contract role focused on enterprise AI integration and production deployments.
Designs end-to-end AI agent architectures for Intel's Agent Factory using Gemini Enterprise, Vertex AI, ADK, and related Google AI tools, defining reusable patterns, orchestration standards, and technical governance.
Designs and optimizes power architecture for next-gen custom SoCs, balancing performance, thermal constraints, and power delivery to enhance Google’s hardware infrastructure for AI and cloud services.
Manage maintenance agreements, cost control, and procurement for a third-party data center site. Collaborate with cross-functional teams, support budgeting and financial reporting, and ensure vendor compliance.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
