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Develops and maintains MLOps pipelines and CI/CD workflows for AI-driven systems in a secure, government-focused environment.
Design and build an enterprise ML platform on AWS SageMaker Unified Studio, migrating from a fragmented toolchain to a governed platform covering the full ML lifecycle.
Build and run a production-grade ML platform: design AI system architectures, deploy and optimize LLM inference servers, and maintain MLOps pipelines with GPU scheduling and monitoring.
Build and maintain cloud-native MLOps pipelines for AgZen’s precision agriculture AI, processing multimodal sensor data to improve crop-spraying models and recommendation engines.
Build and ship production-grade AI systems—LLM apps, RAG pipelines, and multi-agent workflows—into Nexthink’s cloud platform while defining evaluation, MLOps, and scalable cloud architectures.
Description Senior Technical Recruiter – Data, Machine Learning & Software Engineering About the Role We are seeking a Senior Technical Recruiter with deep expertise in hiring across Data Engineering, Machine…
DevSecOps specialist secures Kubernetes-based ML platform by enforcing RBAC, NetworkPolicies, Pod Security, and container scanning while collaborating with MLOps and DevOps teams.
Principal Data Architect designs and implements Databricks-based data platforms for enterprises, setting standards and coaching teams to move from hands-on delivery to self-service analytics and AI.
Design and lead the end-to-end AI platform architecture for a large telecom operator, integrating AI/ML systems with cloud, MLOps, and telecom infrastructure to drive customer experience and operational efficiency.
Build and maintain the MLOps platform for Bosch’s AI products, using Terraform, Kubernetes, and Azure to automate the ML lifecycle from data ingestion to model monitoring.
Principal Software Engineer designs and builds core AI-powered infrastructure for critical decision-making systems in industries like healthcare, water, and energy, using Python, Node.js, and distributed cloud technologies.
Senior Data Scientist builds and deploys AI/ML models for infrastructure systems like water, energy, and telecom, using time-series, geospatial, and graph analytics to drive operational decisions.
Build and deploy end-to-end ML systems for industrial sorting machines, focusing on computer vision and MLOps across cloud and edge.
Build and maintain MLOps pipelines for DPR’s AI initiatives, collaborating with data engineers and architects to operationalize ML models in climate-tech applications.
Digital Senior Data Scientist AECOM is seeking a Senior Data Scientist to join our Data Science & Analytics team, contributing to transformative data-driven decision-making across global projects. As part of…
Build and ship computer-vision models: train, evaluate, wrap in services, and demo via simple web UIs. Core stack: Python, PyTorch, OpenCV, FastAPI/Flask, Docker.
Какие задачи необходимо решать Управлять командами, проектами или продуктами на протяжении более 2 лет. Развивать B2B-продукты или сервисы на основе API. Работать с большими данными (SQL, pandas, R). Формировать…
Build and run CERN’s next-gen ML platform, deploying AI models on Kubernetes/GPUs and optimizing resource usage for particle-physics experiments.
Главный менеджер возглавляет функцию аналитики данных и ИИ/машинного обучения департамента, превращая городские данные в практические инсайты и решения на основе искусственного интеллекта для операционной деятельности…
Builds and deploys AI/ML and Generative AI models using Python, TensorFlow, and cloud platforms to solve business problems and enable data-driven decisions.
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