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 secure, scalable data pipelines and platforms using Python, Spark, Kafka, and Kubernetes for mission-critical Defence environments.
Обязанности: Сформировать дорожную карту ML‑инициатив для трейдинга и смежных функций (ценообразование, прогнозы спроса/предложения, оптимизация логистики, риск‑метрики); Разрабатывать end-to-end LLM-приложения : от…
Build and maintain AI-powered systems for competitive intelligence using LLMs, RAG, and agentic workflows to automate data collection and insights delivery across JFrog’s DevSecOps ecosystem.
Build and deploy ML models for computer vision systems in an R&D team, improving data pipelines and MLOps workflows.
Build and own the backend platform for a real-time 3D commerce environment using Node.js/TypeScript, PostgreSQL, AWS, and CI/CD pipelines in a fast-paced startup.
Build and lead backend systems integrating GenAI/LLMs, designing scalable AI pipelines and agentic workflows in Python/Java/Spring Boot on AWS.
Build and own a full-stack MLOps platform: React/TypeScript frontend, Postgres backend, data pipelines, deployments, and LLM serving stack.
Build and deploy AI solutions to automate internal business processes using LLM models, APIs, and Python; prototype AI products and integrate them with corporate systems.
Build and deploy GenAI-enabled solutions for government clients using Microsoft Azure AI tools, Python/TypeScript, and RAG workflows while collaborating with senior stakeholders to drive measurable business impact.
Leads a team building and operating an MLOps platform and multi-agent environment, overseeing the full ML lifecycle, AI agent integration, and scalable infrastructure for a large corporation.
Senior DevOps engineer builds and maintains scalable CI/CD pipelines, Kubernetes clusters, and IaC (Terraform/Ansible) for high-load production systems, with monitoring (Prometheus/Grafana) and security practices.
Design and implement scalable AI systems for manufacturing, integrating predictive analytics, LLMs, and MLOps to optimize production flows and decision-making.
Build and maintain customer lifetime value models to guide growth spend and acquisition decisions in a Latin American fintech app.
Build and deploy ML models for fraud detection, risk modeling, and financial crime prevention in a fintech app serving 2M+ customers.
Senior Data Scientist Consultant designs and delivers AI/ML solutions for public sector and enterprise clients, from prototyping to production deployment, using Python, PyTorch, and MLOps.
Lead a data-science team to define Handelsbanken’s AI and analytics roadmap, build ML models with Python/SQL, and deploy them via MLOps while meeting banking regulations.
Build and deploy ML models to personalize recommendations and connections across Bumble’s dating and social platforms using PyTorch/TensorFlow and modern AI techniques.
Design and build scalable AI platforms using cloud services, Kubernetes, and MLOps pipelines to automate AI/ML deployment and monitoring for enterprise clients.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Build and own the ML pricing engine for tem’s energy-trading platform, Rosso, using forecasting, optimisation, and probabilistic models to set real-time quotes and hedging decisions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
