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Design, build, and deploy AI and data science solutions for government clients, including ML models, pipelines, and analytics products using Python, SQL, and cloud platforms.
Senior AI/ML Engineer (LLM & Generative AI) Remote Position: Senior AI/ML Engineer to support and building cutting-edge AI solutions that advance biomedical research and scientific discovery. You'll work with: Large…
Senior Backend Engineer at Archer56 designs and scales core services for electric aircraft systems, focusing on IoT infrastructure, Kubernetes, and Rust/Python in a high-availability environment.
Builds and optimizes backend services and APIs for biomedical instrumentation, real-time data pipelines, and distributed ML systems using Python, AWS, and Kubernetes.
Consultant builds and implements AI and data-science solutions for clients, from prototypes to production, using Python, ML frameworks, and cloud platforms.
Build and deploy AI models for medical document recognition and NLP chatbots using PyTorch, FastAPI, and GPU servers.
Build and optimize real-time computer-vision models for autonomous systems, focusing on detection, tracking, and deployment on embedded devices like Jetson and ARM64.
Build ML models to personalize promotions, predict churn, and optimize cashback mechanics for a large Russian grocery retailer.
Develops and optimizes deep learning frameworks and GPU kernels for AMD’s AI hardware, focusing on multi-GPU/multi-node performance and integration with frameworks like vLLM and PyTorch.
Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Build and deploy full-stack AI systems that automate chip design workflows using generative models and agentic AI, working directly with customers to integrate solutions.
Optimize and deploy large language model inference systems for an AI-driven chip-design platform, focusing on throughput, latency, and cost-efficiency across multi-node GPU clusters.
Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
Designs, develops, and deploys AI/ML models using frameworks like PyTorch or TensorFlow to solve complex mission requirements and business challenges.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Build and scale AI pipelines that generate, evaluate, and optimize interactive ad creatives using LLMs, VLMs, and multimodal models to boost engagement and conversions for global apps and games.
Build and scale GPU infrastructure for training tabular foundation models, optimizing Slurm clusters on GCP and planning multi-provider expansion to support high-throughput, cost-efficient ML workloads.
We are looking for an experienced Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber. Our team plays a crucial role in empowering users with secure and seamless digital…
Build predictive models and ML solutions for finance, insurance, and operations using Python, SQL, and cloud-native tools to drive data-driven decisions and business growth.
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