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.
Build statistical and ML models on large pharma datasets in Databricks/AWS to inform business decisions, partnering with cross-functional teams.
Build and ship ML-based features for Apple, focusing on training pipelines, inference infrastructure, and on-device model optimization for foundation models and multimodal systems.
Build and automate support systems for Ollama’s open-source AI runtime, triage user issues, and ship fixes to improve developer experience across platforms.
Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Build and own back-end systems and ML pipelines for AI-powered cybersecurity threat detection, using Python/Go/Node.js on Kubernetes and deploying generative AI workflows.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Designs end-to-end data and AI architectures for a secure government program, ensuring scalable, resilient, and compliant solutions using cloud platforms and big data technologies.
Develops AI/ML and GenAI solutions for Google Search, designing large-scale systems and optimizing model deployment to improve global information retrieval and accessibility for billions of users.
Build and deploy AI models to improve B2B payment workflows at a fintech company, using Python, SQL, and cloud tools.
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Designs and optimizes Google’s AI/ML infrastructure stack, focusing on performance tuning, debugging, and tooling for large-scale AI/ML workloads (e.g., LLMs, TPUs) to ensure scalable, high-efficiency systems for global users and Google Cloud customers.
Build and optimize AI agents for Google Cloud’s Applied AI portfolio, focusing on recommendation systems, skill discovery, and performance tools for conversational agents.
Lead a team to build and ship scalable generative AI applications, translating research into real-world products while optimizing performance and mentoring engineers.
Build and maintain scalable data pipelines and analytics platforms for financial institutions using big data tools like Spark, Hive, and cloud platforms.
Build and maintain the AI platform infrastructure for TeamViewer Tia, including data pipelines, retrieval systems, vector databases, and production model deployment to power reliable, enterprise-grade AI experiences.
Build and deploy ML models for time-series forecasting and statistical analysis using Python, PySpark, and Databricks to solve client problems in finance and energy sectors.
Develops production-grade AI/ML agentic systems (e.g., multi-agent workflows, MCP servers) for Google Cloud, bridging AI models with enterprise infrastructure while optimizing performance, safety, and scalability for global customers.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. We are looking for a Lead Python Developer to join the Financial Engineering unit within Global Risk Analytics (GRA).…
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
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