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.
ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
Engineer AI/LLM inference on GPU clusters: benchmark, tune, and optimize model serving with vLLM, Triton, or TensorRT-LLM to hit latency, throughput, and memory targets.
Design and lead enterprise-scale data platforms using Databricks, AWS/Azure services, and modern architectures like Medallion and Data Mesh; pair with engineers to build production-grade data products.
Build and optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
Lead high-impact modeling initiatives for an AI-driven insurance decision-intelligence platform, combining deep learning and traditional techniques to build and deploy predictive models that reveal hidden risk.
Lead complex AI/ML modeling projects for an insurtech platform, blending deep learning and LLMs with traditional techniques to predict risk and drive business decisions.
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.
Build and ship core AI models for insurance risk analysis using deep learning and LLMs, from prototype to production with measurable business impact.
We provide AI and MLOps services to product IT companies across Europe and the USA. As we scale into new markets, we're growing our sales team. Requirements: 1+ years of B2B sales experience (IT/tech services…
Senior AI/ML engineer building and deploying production-grade models (including LLMs) on AWS using PyTorch, Ray, Docker, Kubernetes, and FastAPI for national security missions.
Builds and deploys LLM/NLP-based AI agents, RAG systems, and GenAI pipelines using Python, FastAPI, and PyTorch for enterprise clients.
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Build and deploy AI-powered applications for financial clients using large language models, retrieval-augmented generation, and cloud platforms like Google Cloud.
Demonstrate and deploy Domino’s AI/ML platform for U.S. public-sector customers, designing secure proofs-of-concept that meet FedRAMP/IL5 standards and guiding agencies from evaluation to production.
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
Owns data and AI products, defining vision and roadmaps while collaborating with technical teams to deliver solutions that drive digital transformation for clients.
Build and optimize ML models for an ad-tech platform that selects the best-performing ads in real time using recommendation engines and performance data.
Build and own Motorica’s internal developer platform, including multi-cloud IaC, Kubernetes, CI/CD, and GPU-accelerated ML serving to power AI-driven game animation pipelines.
Build and ship AI-powered creative tools and automation for mobile-game marketing, using LLMs and agents to scale content production across Scopely’s studios.
Senior Go Developer for ML Workflow at Ozon Tech, developing and maintaining ML platform services (MLOps/ModelOps) including pipelines, experiment tracking, model storage, and inference. Core technologies: Go, Kubernetes, GitLab CI, PostgreSQL, Redis, ClickHouse, Kafka, Python.
We couldn't check your fit for this role — add a CV to your profile to see it next time.