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Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Junior MLOps Engineer responsible for automating ML pipelines (CI/CD for ML), deploying models to production using Kubeflow and MLflow, and monitoring data drift and model performance. Core technologies include Python, Docker, Kubernetes, Kubeflow, and MLflow.
Lead the design, development, and deployment of AI/ML-powered applications and microservices on Kubernetes, using MLOps/AIOps tools and cloud platforms to deliver scalable, production-grade solutions.
Leads AI security engineering for Lloyds Bank, designing secure patterns, controls, and tooling to protect AI/ML systems while enabling innovation in generative AI and automation.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Design and deploy enterprise AI/ML solutions on the Snowflake native stack (Cortex, Model Registry), perform root cause analysis on complex distributed systems, mentor architects, and align technical roadmaps with business outcomes.
Senior Staff Software Engineer on LinkedIn's AI Infrastructure team, responsible for designing and optimizing large-scale distributed training and serving systems for AI models (e.g., LLMs, recommendation engines), using frameworks like PyTorch, TensorFlow, Horovod, and DeepSpeed to scale up to hundreds of billions of parameters and high-throughput GPU inference.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Senior engineer maintaining and improving production AI platforms on Kubernetes across on-premise, AWS, and GCP, using MLOps and Python to ensure reliability and scalability.
Build GCP data pipelines, AI/ML solutions and MLOps frameworks using Dataflow, Apache Beam, BigQuery, Kubeflow and Python. 13th August, 2026 Company Description Showtime Consulting is a leading provider of Shielded…
DevOps-инженер проектирует и поддерживает CI/CD пайплайны, управляет Kubernetes-кластерами и автоматизирует инфраструктуру для цифровых продуктов.
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Build and manage cloud-based ML infrastructure, CI/CD pipelines, and containerized AI apps using AWS/Azure/GCP, Docker, Kubernetes, and Terraform on-site in Tokyo.
Builds and maintains MLOps infrastructure to deploy, monitor, and scale AI models in production for an edtech platform, using MLflow, Kubernetes, and CI/CD pipelines.
We are seeking an experienced AI System Engineer to design, deploy, operate, and optimize AI training clusters, GPU computing platforms, and supporting infrastructure. The ideal candidate should possess strong…
Build and scale cloud, Big Data, and AI/ML infrastructure that powers Genesys’s workforce-management platform, designing distributed systems and reusable platforms for enterprise AI deployments.
Builds and optimizes LLM-driven conversational analytics pipelines, prompt engineering, and NLP models to extract insights from large-scale text data for AI-powered decision-making.
Develops AI/ML-powered topic analytics solutions for customer experience data, blending rule-based systems with GenAI to improve scalability and accuracy in enterprise reporting and monitoring.
¿Por qué te estamos buscando? Tu misión será impulsar la capacidad de Data Science dentro del equipo de Data&IA en Mahou San Miguel, trabajando activamente con las diferentes áreas de negocio, en el desarrollo de…
Leads enterprise AI platform architecture for Nutanix, designing GPU/Kubernetes-based AI infrastructure, MLOps/LLMOps, RAG, and Generative AI solutions for hybrid/multi-cloud environments. Advises customers on AI strategy, model serving, and production-grade AI deployments.
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