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Builds Python-based data pipelines and ML environments on GCP, using FastAPI/Flask and Kubeflow to process TV viewership analytics and automate Data Science workflows.
Build and maintain cloud infrastructure for AI models, automate deployments with CI/CD, and optimize GPU-powered production environments using DevOps/MLOps tools like Terraform, Kubernetes, and MLflow.
Designs, builds, and maintains secure, scalable cloud infrastructure for AI/ML platforms and DevOps tooling, using Kubernetes, Helm, and CI/CD pipelines while mentoring teams.
Build and deploy enterprise AI services using Python, Flask/FastAPI, and cloud-native tools to power UKG’s next-gen AI platform.
Build and maintain the ML platform that powers Prima’s motor-insurance pricing and claims systems using Python, cloud tools, and CI/CD pipelines.
Build and maintain scalable ML pipelines on Azure, automating training, deployment, and monitoring with DevOps practices and Kubernetes.
Чем предстоит заниматься: ✨Внедрять ML-модели в продакшн: разрабатывать и интегрировать пайплайны для скоринга, оценки рисков и других бизнес-задач в промышленную среду. ✨Строить надёжные пайплайны обработки данных:…
Design enterprise AI/ML pipelines and governance frameworks for the VA, ensuring responsible deployment of healthcare and benefits systems that meet federal standards.
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Designs and maintains CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for ML and general apps, automating deployments and monitoring systems.
Lead a cloud engineering team to design and run GCP-based AI infrastructure that ingests robotics data, trains models, and serves inference at scale for BrainOS, the platform powering 30,000+ autonomous mobile robots.
Build and deploy MLOps pipelines to collect robotics data, orchestrate model training, and automate deployment for AI-driven warehouse automation systems using Python, cloud infra, and Kubernetes.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Build and maintain CI/CD pipelines and Kubernetes-based infrastructure to automate training and deployment of AI/ML models, using Docker, Terraform, Ansible, Jenkins, and monitoring tools like Prometheus and Grafana.
Senior DevOps/MLOps Engineer designs and maintains GCP infrastructure, CI/CD pipelines, and MLOps workflows for a consultancy, advising clients on deployment strategies.
Senior DevOps/MLOps Engineer designs and maintains GCP infrastructure, CI/CD pipelines, and MLOps workflows for a consultancy, advising clients on deployment architectures.
Build and maintain AI/ML infrastructure for mobile games, deploying models that serve millions of players and optimizing internal tools using Kubernetes, Terraform, and cloud platforms.
Senior DevOps Engineer designs and maintains cloud infrastructure using Terraform and Azure DevOps, automates MLOps workflows, and ensures high availability of AI/ML platforms across AWS and Azure.
Build cloud-native microservices and AI-native platforms for Ericsson’s Service Orchestration product, integrating LLMs, RAG, and AI workflows using Kubernetes, Python/Java, and AI tooling.
Senior DevOps Engineer builds and secures AWS and Kubernetes platforms for a deep-tech AI/robotics company, automating CI/CD pipelines and ensuring compliance with modern cloud-native practices.
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