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Builds and operates production-grade AI systems (LLMs, RAG pipelines, agents) for public-sector clients: data/ML pipelines, model serving, monitoring and drift detection. Core stack is Python, CI/CD, Kubernetes and Docker; remote-first within the DACH region and German at C1 level is mandatory.
Builds and maintains the ML infrastructure platform for Nuro’s autonomous vehicle AI, focusing on GPU/CPU resource provisioning, workload orchestration, and petabyte-scale data pipelines to accelerate model development from experimentation to production.
Build and scale the ML infrastructure platform that provides compute and data resources for autonomous vehicle development, using IaC, workload orchestrators (Kubernetes, Ray), and distributed data processing frameworks.
Senior Data Scientist at Vodacom's South Africa Big Data team in Midrand, owning ML and AI use cases end-to-end — churn, propensity, uplift and recommender models plus GenAI/agentic solutions — using Python, SQL, PySpark, deep learning frameworks and MLOps tooling to deliver measurable commercial value.
Key Responsibilities Lead the deployment, administration, and optimization of enterprise Kubernetes environments running on Nutanix infrastructure, ensuring resilience, scalability, and operational excellence. Design…
An MLOps engineer who builds and scales production infrastructure for training and serving ML models: Docker/Kubernetes environments, ML CI/CD pipelines, Terraform-based cloud IaC (AWS/Azure/GCP), monitoring (Prometheus/Grafana) and model/dataset versioning (MLflow, DVC). Works closely with ML engineers and data scientists on AI features for global banking products.
Luogo di lavoro: Lucca DevOps Engineer - Cloud & On-Premise Movesolutions / Move Silicon Chi siamo Costruiamo tecnologia in due mondi che raramente convivono nella stessa azienda: la piattaforma IoT di Move…
Senior Python engineer joining Prima's ML Platform Domain in Milan, building the platforms, shared services and infrastructure that enable machine learning at scale across all countries for its online motor insurance business. Core stack: Python, CI/CD, IaC, containers, Kafka/RabbitMQ, MySQL/PostgreSQL, AWS.
MLOps engineer building and deploying MLOps practices (environments, CI/CD, monitoring) for ML models in batch and streaming modes at Sberbank Insurance, using MLflow, Kubeflow, Airflow, Docker, Kubernetes, Python, and SQL.
AI/MLOps engineer at Smile Group (Asnières-sur-Seine, on-site) who industrializes AI and LLM projects for public-sector and energy clients — taking models from PoC to production, building MLOps CI/CD pipelines, optimizing GPU training/serving, and monitoring models. Stack: PyTorch, MLflow, Kubeflow, Docker/Kubernetes, cloud AI platforms, Python.
Lead a team of software engineers building AI/ML models and platforms for Conga’s products, including feature stores, model training, and monitoring pipelines.
Job Title: AI Engineer Job Description We’re looking for an AI Engineer to design, build and deploy AI solutions that solve real business problems. You’ll work closely with product, data and engineering teams to take…
(Senior) AI Platform Engineer (m/f/d) Buscamos un perfil ( Senior) AI Platform Engineer con experiencia para diseñar, Implementar y mejorar plataformas modernas, escalables y orientadas a IA y Machine Learning.…
We are looking for an engineer to play a key role in providing technical, engineering support to Meta’s Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global…
SRC, Inc. is currently seeking a Senior AI/ML Engineer to lead the technical execution of machine learning and generative AI efforts supporting ISR, EW, advanced sensing, and decision science missions. This role owns…
Who We Are: At OPENLANE we make wholesale easy so our customers can be more successful. We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles. We’re a…
AI71 in Abu Dhabi is hiring an MLOps Engineer to own ML infrastructure strategy — how LLMs and deep learning models are deployed, fine-tuned, and served at scale across SaaS and air-gapped on-prem environments. Core stack: Kubernetes, Python, AWS/Azure/GCP, vLLM/Triton/TGI, MLflow/Kubeflow, DeepSpeed/FSDP.
Senior Software Engineer (MLOps) at PathAI in Boston designs, builds, and scales ML infrastructure on AWS and on-premises, automating CI/CD for ML models and workflows with Kubernetes and Airflow. Core stack: Python, Kubernetes, Terraform/Helm, Prometheus/Grafana monitoring.
Get to know the team Grab's Financial Services business is present across 6 countries in South East Asia, in the Payments, Lending, Insurance and Digital Banking domain. We station our engineering teams in India,…
A DevOps engineer who builds and operates secure, scalable cloud infrastructure and CI/CD pipelines for AI/ML workloads, owning the full MLOps lifecycle (training, deployment, monitoring) at DXC Technology. Core stack: AWS/Azure/GCP, Terraform, Docker/Kubernetes, Python/Bash, and observability tooling, based in Petaling Jaya.
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