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Overview In this Senior DevOps/Infrastructure role, you will collaborate with Backend and ML/AI engineers to deploy and maintain dev/staging environments and run ML/AI pipelines and model deployments. You’ll design the…
A customer-facing principal solutions architect who designs end-to-end NVIDIA AI Factory infrastructure — DGX/HGX GPU clusters, InfiniBand/Ethernet fabrics, parallel storage, colocation power/cooling, and the NVIDIA AI software stack — for enterprise and hyperscale customers, from discovery and sizing through proposals, POCs, and post-deployment optimization.
Designs, trains, and puts into production predictive and AI models for logistics use cases like demand forecasting, route optimization, and anomaly detection, promoting MLOps and data governance. Fully remote role at ACL for candidates with 3+ years of data science/ML experience using TensorFlow/PyTorch, SQL, and MLOps tooling.
Builds and improves SumUp's internal ML platform — the tooling data scientists use for feature engineering, training, experimentation, monitoring and model serving — replacing fragmented workflows with self-service infrastructure. Core stack: Python, ML orchestration (Metaflow, MLflow, Kubeflow), Spark/Flink/Kafka, and AWS with Docker, Kubernetes and Terraform.
Senior Machine Learning Engineer building and operating ad-targeting predictive models (bid-landscape, conversion propensity) for a customer in Sigma Software's AdTech practice. Day-to-day covers model training/pipelines, evaluation, deployment, and monitoring using Python, SQL, gradient-boosted trees, Kubernetes/Docker, and ML orchestration tooling.
Senior engineer designing and building scalable backend infrastructure for Coupang’s e-commerce platform using Java, AWS, Kubernetes, and Kafka.
Senior Staff Backend Engineer designs and builds scalable Kubernetes-based infrastructure for Coupang’s e-commerce platform using Java, AWS, Kafka, and gRPC, while mentoring teams and driving operational excellence.
Staff backend engineer (internal transfer) at Coupang in Bengaluru building the next-generation AI Inference Gateway — highly scalable platform services for ML/GenAI workloads. Day to day: designing routing, load balancing, and multi-tenant controls using Go/Java/Python, Kubernetes, Envoy/service mesh, gRPC, Kafka, and AWS.
The Company NorthMark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the…
Experis è la società IT & Technology del Gruppo Manpower. Le persone e le loro competenze sono il nostro successo e insieme ci poniamo come partner tecnologici dei nostri clienti attraverso servizi e soluzioni.…
DevOps engineer in Elmec Informatica's innovation team: works with developers on app releases, manages Kubernetes and Terraform (IaC) infrastructure, improves monitoring and application telemetry, and helps adopt GPU-backed platforms for serving AI models. Core stack: Linux, Docker/Kubernetes, GitLab CI/CD, with hybrid or full remote work possible.
We are seeking a highly experienced Lead AI/ML Engineer to lead the discovery, design, and adoption of advanced optimisation and AI/ML solutions across mathematical programming, quantum-inspired methods, hybrid ML +…
Description About CodeNinja CodeNinja is a global software and AI infrastructure company delivering full-stack technology solutions across AI, software engineering, data, and digital transformation. With operations…
Devsinc is hiring a Senior AI/ML Engineer with 4+ years of experience , including development of LLM or generative AI applications . The ideal candidate brings strong machine learning fundamentals and expertise in…
We are looking for a Senior Machine Learning Engineer to help build the intelligence behind OMS+ IA. The focus is models that make a measurable difference inside enterprise order management: product and cross-sell…
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to…
AI/ML Engineer in Pune on the IT Services team, architecting end-to-end ML pipelines with Python, TensorFlow, and Kubeflow, building LLM/RAG applications, containerizing services with Docker and Kubernetes, and integrating OpenAI APIs into production while monitoring model performance.
MLOps engineer on Tapestry (a Google/Alphabet group building the AI-powered electric grid), designing CI/CD pipelines, containerizing training code, and deploying ML models to production on GCP (Vertex AI, GKE). Core stack: Python, Docker, Git/CI-CD, and cloud ML infrastructure.
MLOps engineer on Tapestry (an Alphabet/Google group building an AI-powered electric grid): designs CI/CD pipelines, deploys ML models to production on Vertex AI/GKE, and automates training and batch-prediction workflows, partnering with ML engineers and data scientists. Core stack: Python, Docker, GCP/Vertex AI, and CI/CD tooling.
Infrastructure engineer owning the cloud platform layer behind Lab37 Robotics' direct-to-customer food-production robots: building cloud infra, ML and ETL pipelines that turn robot telemetry into analytics, plus Terraform/CI-CD automation, model training tooling, and observability. Onsite in Pittsburgh with a small platform team.
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