Adobe Commerce, or SAP Commerce Cloud.Strong understanding of composable commerce principles, headless architectures, and API-first development. Expertise in cloud offerings (AWS, Azure, or Google Cloud) to drive commerce migration projects and recommend best practices. Excellent problem-solving, communication, and stakeholder management skills. Ability to lead diverse teams, including solution More ❯
years of experience building cloud-based products. 2+ years of experience with at least one major cloud-based AI model development service, like Azure, Google Cloud's Vertex AI, or AWS platforms. Preferred Qualifications: Mastery of the English language, excellent communication and technical writing skills. Strong understanding of SDLC best More ❯
Relevant work experience, including internships, full time industry experience or as a researcher in a lab. Experience with cloud platforms such as AWS, Azure, Google Cloud Platform Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/ More ❯
deep knowledge of employee solutions, CRM, and frontline services, with experience in Dynamics, Salesforce, SAP, or Oracle. Understand competitive technologies and cloud environments (Azure, Google Cloud, AWS) to assess solution integration. Promote Microsoft Business Applications, identifying opportunities for expansion, and contribute to thought leadership initiatives. Continuously develop your skills through More ❯
deep knowledge of employee solutions, CRM, and frontline services, with experience in Dynamics, Salesforce, SAP, or Oracle. Understand competitive technologies and cloud environments (Azure, Google Cloud, AWS) to assess solution integration. Promote Microsoft Business Applications, identifying opportunities for expansion, and contribute to thought leadership initiatives. Continuously develop your skills through More ❯
embraces modern, agile ways of working It Would Be a Bonus If You Had Experience working with at least one of these platform providers - Google, Facebook, TikTok, Twitter, LinkedIn Commerce platforms such as Criteo, Profitero or Edge and Shopify Foundational AI technology such as Mistral AI, Azure, AWS. LLaMa etc More ❯
Global Contracts Negotiator, Google Cable Landing Stations corporate_fare Google place London, UK Apply Minimum Qualifications: Bachelor's degree in Engineering, Construction Management or related legal field. 6 years of experience with finance and agreement negotiations in legal, technical or engineering field. Preferred Qualifications: Master's degree in a finance … creative solutions. Excellent leadership and influencing skills. Excellent written, verbal, presentation and communication skills, translating to relationships with stakeholders and suppliers. About the Job Google's infrastructure needs go far beyond server computers. As Google's products and services scale the globe, the Strategic Negotiation team works behind the scenes … to secure infrastructure for Google's future everything from underwater cables to physical data center space. As a Strategic Negotiator, you combine your deep market knowledge of a given sector with tech industry savvy to negotiate cost-effective solutions to support Google's infrastructure growth. You'll work with specific More ❯
Strong skills in Python programming at least 5 years commercial experience Demonstrable ability to create custom GPTs and Chatbots using AI tools such as Google Gemini API (and Notebook LM), Anthropic Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT. Experience with Microsoft Azure and Microsoft Power Platform. Proficiency in More ❯
environment Strong written and verbal communication and consulting skills, with the ability and confidence to present to business partners and senior management Proficiency with Google suite or MS Office (docs/Word, sheets/Excel, slides/PowerPoint) What could set you apart Experience with model risk management and/ More ❯
processes, including source control, version control, build creation, and testing. Understanding of the software development lifecycle. Familiarity with test frameworks such as Pytest or Google Test. Skills in front-end technologies like HTML, CSS, JavaScript, TypeScript, and Node.js are a bonus, as is experience with AI tools for automation. Experience More ❯
serve medical content for our Q&A feature. You’ll design scalable APIs, optimise vector search, evaluate ranking quality, and productionise LLM workflows on Google Cloud. What you’ll do Design & build backend micro‐services (Python/FastAPI) that power RAG pipelines, user queries, and analytics. Develop retrieval infrastructure : orchestrate More ❯
knowledge and experience would really make yourapplication stand out: Implementationexperience with Machine Learning models and applications Knowledgeof cloud-based Machine Learning engines (AWS, Azure, Google, etc.) Experiencewith large scale data processing tools (Spark, Hadoop, etc.) Abilityto query and program databases (SQL, No SQL) Experiencewith distributed ML frameworks (TensorFlow, PyTorch, etc. More ❯
Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly More ❯
to detail Experience of business partnering, with a proven track record of building collaborative relationships and influencing decision-making Advanced proficiency in Microsoft Excel & google sheets Strong communication and presentation skills, with the ability to effectively convey complex financial information to non-financial stakeholders Ability to work independently, prioritise tasks More ❯
using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for More ❯
leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over More ❯
new careers in the cloud. Our career programs help professionals like you to cross-train into a specialist and in-demand technology like AWS, Google Cloud, Microsoft, and Salesforce. By joining Revolent, you’ll gain access to a global community with one of the highest first-time cloud certification pass More ❯
across 40 countries including 40% of the Fortune 100 Strategic partnerships with the major cloud native platform providers and public cloud providers (AWS, Microsoft, Google, IBM) The most loved cloud native open-source tools with the world's largest open-source community tool for vulnerability scanning, Trivy The world's More ❯
Ability to juggle tasks and projects in a fast-paced environment Customer obsessed PREFERRED QUALIFICATIONS Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a More ❯
for quality, agility and security. Proven ability to manage multiple projects and conflicting priorities. Experience with public cloud environments such as AWS, Azure or Google Cloud. Experience with microservices architecture and containerization. Familiarity with EDA and semiconductor design process. Ability to explain technical concepts and analysis implications in a clear More ❯
platform engineering paradigms, such as self-service infrastructure and GitOps A good understanding of cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform Enthusiasm in using modern, cloud-native technologies, such as the CNCF landscape projects and products Familiarity with one or more programming or scripting More ❯
be an AI company to survive. Currently 85% of ML projects fail and we are on a mission to turn that statistic upside down! Google, AWS, Azure are all essentially a box of tools, and you need a strong multi-skilled team to assemble a fully scalable ML solution. Then More ❯
practices. Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance More ❯
Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of More ❯
Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of More ❯
