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Lead AI/ML engineer at Staples in Chennai who architects agentic AI and Model Context Protocol (MCP) solutions, builds full-stack AI apps (React, Node.js, TypeScript), and integrates LLMs (Claude/GPT) with RAG, prompt engineering, and MLOps tooling like PyTorch, Kubernetes, Vertex AI, and Azure ML.
Senior DevOps Engineer building and operating secure, scalable AWS and Kubernetes platforms (EKS/OpenShift) for a company serving Defence and National Security sectors. Day-to-day is hands-on: Terraform/IaC, CI/CD with GitHub Actions and Argo CD, DevSecOps, monitoring, incident response and cost optimization. Active SC clearance required; hybrid in Oxfordshire.
Designs and deploys cloud-native automation for Zscaler’s Zero Trust Exchange platform, integrating AI-driven workflows to streamline multi-cloud infrastructure provisioning, security enforcement, and lifecycle management across AWS/GCP/Azure.
Builds and scales the AI infrastructure platform behind Gatik's autonomous trucking models: distributed multi-GPU training (PyTorch, Ray, H100/A100 clusters), MLOps lifecycle automation (MLflow, Argo, Kubernetes), AI-agent-driven ops, data pipelines, and observability. Onsite 5 days/week in Santa Clara, CA.
As a VeroTech consultant, you design, build and optimize data pipelines, architectures, databases and CI/CD for engineering and analytics projects across client production environments. Core stack: Python, SQL, Spark, Docker, with Jenkins, Jupyter, Superset and Dagster; fluent French and English required.
Optimizes and scales cloud-based ML training/inference infrastructure, automates pipelines, and ensures model reproducibility for Pathway’s post-transformer AI models.
At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free…
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing…
Senior DevOps engineer at Fetcherr (AI-powered pricing for aviation) who architects the internal platform as a self-service product: building Kubernetes-native controllers/operators on GCP, enforcing everything-as-code (Terraform, Helm, GitOps), and owning production reliability, observability, and SLOs.
Senior MLOps Engineer on a bank's Risk team, building ML infrastructure from scratch: evaluating feature stores, owning ML training/deployment pipelines (experiment tracking, model registry, CI/CD), and setting up model drift and feature health monitoring. Stack centers on Python, SQL, Docker, MLflow, and orchestrators like Kubeflow/Argo/Metaflow.
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,…
Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
Senior platform engineer at Scotiabank designing and operating the bank's enterprise AI/ML platform: reusable services for model training, deployment, inference, and monitoring, plus MLOps/LLMOps pipelines, generative AI (RAG, agentic workflows), Kubernetes and cloud infrastructure, APIs, and self-service developer tooling.
Designs, builds, and operates Scotiabank's enterprise AI/ML platform: reusable services, APIs, SDKs, and self-service tooling for model training, deployment, monitoring, and governance. Day-to-day spans Python/Java, Kubernetes/Docker, Azure/AWS/GCP cloud, MLOps/LLMOps pipelines (including RAG and agentic AI), and some front-end developer-portal work.
An AI Data Scientist based in the United States who researches and productionizes NLP, machine learning, and generative AI solutions — building LLM pipelines (RAG, fine-tuning, vector search) and data workflows that turn unstructured documents and large datasets into business insights, using Python, PyTorch, Transformers, Spark, and cloud ML infrastructure.
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…
Sorge gemeinsam mit uns für die digitale Zukunftsfähigkeit der Bundeswehr. Senior AI Engineer (w/m/d) ab sofort und in Vollzeit bundesweit an einem BWI Standort. Als primärer Digitalisierungspartner der Bundeswehr…
We are seeking strategic and technically fluent AI Strategists to lead ideation and planning within a structured AI/ML innovation environment. This role is central to enabling scalable, outcome-driven experimentation…
Job Description This position is not eligible for visa sponsorship, now or in the future. Candidates must be a US Citizen or valid Green Card Holder. This position is hybrid 3 days per week in the following office…
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