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.
Senior Data Scientist owning the full model lifecycle—from data prep through deployment—using Python, SQL/Snowflake, and ML libraries to deliver data-driven insights at a cloud-based fintech bank.
Build and deploy neural network models (PyTorch) for time-series and tabular data, mentor junior team members, and deliver end-to-end ML solutions in a fast-paced remote role.
Software Engineer III on Google Threat Intelligence building AI-driven security solutions—LLM-based threat analysis, automated malware analysis, and intelligent query processing—using Python/Go and Vertex AI on Google Cloud.
Build and deploy GenAI-powered content understanding and AI-generated content frameworks for Google Search, leveraging LLMs and multimodal models to enhance global search experiences.
Senior Data Scientist owning data products end-to-end for Sun King's PAYG LPG clean cooking business in East Africa, using Python, SQL, ML models and Bayesian methods to drive commercial metrics like activation, churn and refill frequency.
Build and maintain localization systems for Google Search AI Answers, working across the AI stack to ensure culturally aware, accurate responses for users in any language or locale using ML infrastructure and large-scale system design.
We are MOTOR Ai . Our mission is to make Level 4 autonomous driving a reality in Germany and beyond. By combining state-of-the-art AI with the expertise of our multidisciplinary team, we are poised to introduce the…
Develops and optimizes ML models for Google Shopping Search Ads to improve ad relevance and user experience, focusing on Gemini models and ad ranking systems.
About AI71: AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready…
Software Engineer III on Google's Platforms and Devices team, implementing AI/ML solutions (model optimization, data processing, deployment) across computing platforms and first-party devices using Python and C++.
Senior AI/ML Ops Engineer designs, deploys, and maintains scalable AI/ML pipelines and platforms, focusing on automation, monitoring, and cost optimization for enterprise SaaS.
Job Title: DevOps Engineer – AI/ML Platform Experience: 8–12+ years About the Role We are seeking a skilled DevOps Engineer with experience in AI/ML infrastructure to design, build, and maintain scalable, secure, and…
The MLOps Engineer will design and implement automated pipelines for model deployment, monitoring, and retraining within Data Science projects. The role requires expertise in cloud-based ML platforms, CI/CD/CT practices, and container orchestration using tools like Kubernetes, AWS SageMaker, and Kubeflow.
Role\: Gen AI & Agentic AI Architect Location \: Pan India Experience \: 6 to 15 Years Notice Period \: Immediate to 90 days Mode of Interview \: In Person Gen AI & Agentic AI Architect About The Role\: We are…
Role \: AIML Data Science Location\: Pan India Experience\: 6 to 15 Years Notice Period\: Immediate to 90 days Mode of Interview\: In Person Job Description\: 1. Be a hands on problem solver with consultative approach,…
Design and lead AI-driven platforms, selecting frameworks like PyTorch and deploying models via MLOps pipelines to solve business challenges at scale.
Senior Technical Program Manager driving cross-organizational brand safety programs at Amazon Ads, working across engineering, science, and policy teams. Core focus on real-time ad serving infrastructure and ML-based contextual advertising solutions across web, mobile, CTV, and audio.
Builds and deploys generative AI/autonomous agent systems (LLMs, GANs, RAG) to optimize Maersk’s supply chain processes, focusing on NLP, multimodal AI, and agentic architectures for real-world automation.
This role involves designing and developing network performance monitoring and automation software using Go and Python. The engineer will implement AI/ML-driven analytics to enhance network operations and reliability within a distributed systems environment.
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
