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Build and deploy ML models and AI systems to power creator intelligence, audience analytics, and content performance products using proprietary data and LLMs.
Build and deploy multi-turn, conversational LLM-based support systems for Apple’s global customer service, integrating RAG, multi-agent orchestration, and multi-modal models.
Build full-stack AI applications integrating LLMs and ML models into production systems using Python, TypeScript, and cloud platforms.
Builds and deploys ML models end-to-end—from data pipelines to production inference—designing A/B tests and optimizing models for HR-product metrics.
Build and deploy Generative AI, Computer Vision, and ML solutions for heavy industries, embedding with customers to architect production-ready systems and guide implementation.
OUR VISION When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more…
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…
Build and maintain Django-based backend services and data pipelines for a histology automation platform, using Python, TensorFlow, and PostgreSQL to support medical research workflows.
Consultant builds and implements AI and data-science solutions for clients, from prototypes to production, using Python, ML frameworks, and cloud platforms.
Builds and deploys advanced ML models (e.g., neural retrieval, clustering, ranking) to personalize Google Search and Discover, optimizing user engagement at global scale with realtime systems.
Build and optimize real-time computer-vision models for autonomous systems, focusing on detection, tracking, and deployment on embedded devices like Jetson and ARM64.
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.
Build and ship native Android features in Kotlin for an AI-powered in-store grocery app, integrating edge AI and optimizing performance for live retail environments.
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 lead Android apps (KDS, Consumer, POS/Kiosk) for Revi’s in-store digital platform, shaping how consumers interact with physical retail using Kotlin and modern architecture.
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.
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