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Builds and deploys advanced ML models (time-series forecasting, NLP) for insurance claims processing, translating business needs into scalable production systems using Python, PyTorch/Keras, and cloud tools like BigQuery/GCP.
Design and deploy reinforcement learning algorithms for robotic control and motion planning in dynamic environments, integrating with hardware and simulation tools like Isaac Gym and PyTorch.
Senior ML Engineer at Doctolib builds and deploys AI systems (LLMs, retrieval pipelines, agentic AI) to improve patient access to healthcare, using Python, vector databases, and cloud-native tools.
Senior ML Engineer at Doctolib designs and runs automated evaluation pipelines for AI-powered healthcare assistants, focusing on safety and reliability using Python and cloud-native tools.
Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну вакансію. Ця вакансія у R&D-команду, що розробляє та виробляє…
Build and deploy AI-agent systems for enterprise clients, owning the full lifecycle from discovery to production using Python, FastAPI, and agent frameworks like Strands.
Senior AI/ML engineer builds and automates enterprise GenAI and agentic platforms using Python, Kubernetes, CI/CD, and cloud-native tooling to accelerate AI solution delivery.
Senior AI/ML engineer building and scaling Bank of America’s enterprise Generative AI platform, including LLMs, RAG, agentic workflows, and cloud-native data/AI services.
Build and automate scalable ML pipelines on Azure and Databricks, containerize models with AKS, and ensure resilient, cost-optimized deployments for healthcare products.
Designs and deploys ML models and experiments to optimize pricing and business metrics, then presents findings to stakeholders.
Design and test next-gen AI chips by co-developing hardware and bare-metal software for AWS Trainium ML instances.
Build AI/ML tools for structural engineering, using probabilistic design, finite element analysis, and optimization to create production-ready models and visualizations.
Build and scale Unity Vector’s online ML inference platform, optimizing model serving for low-latency, high-reliability production systems using PyTorch, Triton, Kubernetes, and Ray.
Build and maintain AI model validation, optimization, and safety systems at scale, including quantization, security scanning, and guardrails for production deployment.
Build and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize hardware performance for emerging AI workloads.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Senior ML engineer building and scaling enterprise-grade AI/ML platforms, MLOps pipelines, and GenAI services for a global biotech company.
Senior ML engineer building and scaling enterprise-grade AI/ML and GenAI platforms, including MLOps pipelines, model services, and full-stack applications for Amgen’s healthcare data needs.
Build and deploy ML models for Chewy’s sponsored ads, improving ranking, click prediction, and auction algorithms to drive revenue and shopper engagement.
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