76 to 89 of 89 Remote Cloud Run Jobs

leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We’ve been recognized with: 17x Google Cloud Partner of the Year awards in the last … Advanced Python coding skills, including data structures, algorithms, and software design. Experience in automating infrastructure provisioning, DevOps/MLOps, and CI/CD. Google Cloud Professional ML Engineer certification. Technical Skills GCP Stack (Mandatory): AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE) Gemini Enterprise, Agent ...

future, we set out every day to reframe the possible. The Role This is a senior engineering role focused on taking a modern, cloud-forward approach to platform development. You will work on a greenfield, AI-driven SaaS platform, building modern tools that bridge state … technology with Framestore's world-class film making and media production workflows. You will help deploy, scale, and secure cloud-native serverless infrastructure to support our generative AI SaaS platform and latest products. Beyond hands-on cloud orchestration, you will focus heavily on developer enablement - empowering ...

days in the office each week. You will design, build, and deliver high-quality solutions across the full technology stack in a cloud-native environment, collaborating with Product, Delivery, and Platform teams to enable secure, scalable, and user-focused applications. Responsibilities Design, develop, and maintain scalable full-stack … back-end development experience using C# and .NET frameworks. Strong understanding of RESTful APIs, API design best practices, and microservices architecture. Experience with Google Cloud Platform (GCP) or another major cloud provider, including managed services and database integrations. Strong knowledge of CI/CD pipelines, source ...

What You’ll Bring Hands-On Engineering: Strong software engineering capabilities (e.g. Python, TypeScript/Node.js) with experience building and maintaining production systems. Cloud & Data Experience: Practical experience with cloud infrastructure (preferably GCP: Cloud Run, BigQuery, Secret Manager) and building API-driven ...

suitable for regulated clients. Translating complex business challenges into AI-powered solutions using Generative AI, Agentic AI, data science and analytics. Collaborating with cloud architects, data scientists, product managers and business consultants to take ideas from concept to production. Supporting business development building AI demonstrators, contributing to proposals … Proven delivery of solutions using traditional Machine Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments. Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash. Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand ...

suitable for regulated clients. Translating complex business challenges into AI-powered solutions using Generative AI, Agentic AI, data science and analytics. Collaborating with cloud architects, data scientists, product managers and business consultants to take ideas from concept to production. Supporting business development building AI demonstrators, contributing to proposals … Proven delivery of solutions using traditional Machine Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments. Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash. Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand ...

Elasticsearch models & queries Integrate AI features (streaming responses, structured outputs, eval hooks) to accelerate prototyping and user value. 25% Scale & operate Ship and run services on AWS and/or GCP (ECS/EKS/Lambda or Cloud Run/GKE), containerized with Docker. … Pydantic schemas, pagination, auth (OAuth2/OIDC), rate‐limits, background jobs. Elasticsearch fluency: mappings/analyzers (ngrams, synonyms), aggregations, filters, sorting, performance tuning. Cloud & DevOps : solid experience on AWS and/or GCP , Docker, Terraform, GitHub Actions, monitoring/alerts. Datastores : Postgres (SQL, migrations), Redis (caching/queues ...

Langgraph, Microsoft Agent Framework, Llamaindex and other* Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars* Leading multi-disciplinary teams to execute complex requirements* Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large … scale, from concept to production.* Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.* Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks.* The ability to demonstrate the potential that scaling AI unlocks business ...

back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. · Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production.Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation/… models, Generative AI models and using Agentic AI frameworks in a client-facing environment, by buildingGenAI And Agentic solutions, including data engineering in cloud environments.The ability to demonstrate the potential that AI has to offer to unlock business value.Your Technical Expertise:This list shows the technologies we work ...

models, protected merges, and code‐review workflows. It would be great if you had any of the following... Experience with GCP (e.g., GKE, Cloud Run, Pub/Sub, BigQuery) and Vertex AI (Endpoints, Pipelines, Model Monitoring, Feature Store). Hooks for prompt/version management, offline … information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. ...

production deployments. Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks … information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. About ...

production deployments. Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks … information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. About ...

production deployments. Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks … information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. ...

production deployments. Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost. Proven development experience with cloud services, data stores and architectures, such as Vertex AI, BigQuery and Cloud Run. Hands-on experience with machine learning operations tooling and frameworks … information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. ...