476 to 500 of 23,303 AI Jobs

Liberty Wines is transforming its data estate, migrating from on-premises platforms to a modern cloud-based analytics environment while expanding its AI and machine learning capabilities. Working alongside an experienced data consultancy, we are building a greenfield analytics platform using technologies such as BigQuery, Snowflake, dbt, Looker and Omni. … layer) and build stunning dashboards used by Sales, Buying, Ops & Finance Optimise datasets for performance, cost, and freshness (partitioning, clustering, and incremental models). AI/ML Enablement Work with Liberty’s AI & Automation Dev Team to prepare and expose curated data to our AI/ML toolsets and workflows. ...

modeling; Microsoft .NET technologies (C#, ASP.NET Core, REST APIs); Azure cloud solutions; GitHub Enterprise and CI/CD automation; enterprise application and API integrations; AI-enabled applications, agents, copilots, and automation solutions, along with a strong foundation in software architecture, object-oriented design, Agile development, security best practices, debugging … necessary. Preferred Qualifications: Experience in enterprise software development; Microsoft technologies including SQL Server, Power Platform, Fabric, and Power BI; Azure cloud services and AI technologies such as Azure AI, OpenAI, Copilot Studio, Semantic Kernel, and RAG architectures. Additional experience with microservices, containerization, Infrastructure as Code (IaC), cloud migration, legacy system ...

flags, backward compatibility, and rollback plans. Learn LLM serving fundamentals tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Add to team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities ...

disciplines. What does the team work on? Roku's Automation support and Tools team focuses on providing innovative, impactful tools and SW solutions including AI enabled engineering capabilities to help accelerate validation efforts, improve efficiency, enhance productivity of all engineering team across Roku's entire embedded SW org. The team … backend systems, with a strong focus on performance, reliability, and scalability. You will build and evolve APIs and microservices, and help integrate modern AI capabilities into production experiences where they add clear user value. The role requires strong technical judgment, cross-functional collaboration, and the ability to move from concept ...

/SDK team, you will design, develop, and deliver engaging platform features — including screensavers, static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across … This is an opportunity to shape the future of streaming entertainment through innovation and a deep commitment to engineering excellence. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive ...

clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating … digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. ...

team culture. Together, we focus on excellence, collaboration, and continuous improvement. Job responsibilitiesDevelop workflows and ELT pipelines using Python and Databricks. Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements. … security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databasesApplies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency ...

everyone can grow, develop and fulfil your potential with meaningful careers!! ROLE SUMMARY Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists … love to talk to you! As a Senior Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for an experienced data scientist with the proven ability to manage project timelines and deliver high-quality code that aligns ...

cutting-edge technical solutions, ranging from the latest .NET technologies using C# to various Front End Web JS Frameworks, all while contributing to our AI-powered platform evolution. You will be supported in your career growth by a highly experienced team, comprehensive learning opportunities, and a vibrant technical community committed … establishing architectural patterns, standards, and best practices that others can followEnsure knowledge transfer and documentation for owned systems to enable team continuityCollaboration & CommunicationLead with AI-first practices by actively drive AI-led ways of working within the team, using tools such as Cursor, Copilot, and Claude Code as a core ...

gaming or entertainment industry Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) Experience with training and fine‐tuning large‐scale foundation models (e.g., GPT, BERT … various tasks Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR What you’ll be doing: Technical Expertise: Design, develop, and deploy advanced machine learning models to solve complex business problems Stay updated with the latest trends and advancements in machine learning and AI technologies Conduct code ...

Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services. Role Overview: We are seeking an Engineer … test management, API testing, and test documentation Experience supporting or developing CI/CD delivery practices using Azure DevOps or equivalent tooling Awareness of AI agents, generative AI, Microsoft Fabric, and adoption-focused cloud initiatives Excellent written and verbal communication skills, with a professional customer-facing presence Strong ownership, accountability ...

solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring ...

streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Roku Entertainment Assistant team builds conversational AI experiences used across millions of Roku devices. The team works across fulfilment ranking, model delivery, offline and online evaluation, low-latency services, observability and product quality. … uses to train, evaluate, deploy and observe models, while helping us manage latency, quality and cost as the product grows. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive ...

Working With**As an AWS Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership … will leverage your expertise in AWS analytics and data integration services to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database ...

high-visibility, high-ownership engineering work with a direct line to business impact. You'll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first-class stakeholders alongside finance teams. More specifically, you will: Design and build the Snowflake schema … grows Write dbt YAML documentation - table descriptions, column definitions, and grain statements - as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy Own row-level security and model freshness SLAs for real-time AI queries, treating AI consumers as first-class stakeholders alongside finance What ...

high-visibility, high-ownership engineering work with a direct line to business impact. You'll also play a key role in shaping how AI consumers interact with structured financial data, treating them as first-class stakeholders alongside finance teams. More specifically, you will: Design and build the Snowflake schema … grows Write dbt YAML documentation -- table descriptions, column definitions, and grain statements -- as a first-class production deliverable, recognizing that documentation quality directly determines AI answer accuracy Own row-level security and model freshness SLAs for real-time AI queries, treating AI consumers as first-class stakeholders alongside finance What ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

Data Analytics Manager by applying and role-modelling technical standards, contributing to complex analysis, and introducing new techniques including the practical application of AI tools within the analytics workflow. Key Responsibilities Acting as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics can improve … scoped analyses and dashboard requirements, and collaborating with the wider business to identify opportunities for automation and operational efficiency gains. Identifying and applying practical AI tooling within the analytics workflow, including LLMs, agentic tools and code-generation assistants, with a pragmatic view on where they add genuine value. Embedding ...

techniques into production safely. Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language & predictive analytics. Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development. Skills, Knowledge & Expertise Bachelor’s or Master’s degree in Computer Science, Machine Learning … developing retrieval-augmented generation (RAG) pipelines – experience setting up/configuring vector DBs, as well as using, would be advantageous; Finding and productionising recent AI models (e.g. via Huggingface (transformers), OpenAI APIs); Building agentic systems (e.g. via LangChain, AutoGen, PydanticAI). Evidence of participating in Open-Source Software (OSS) development ...

review work of other engineers to promote best practices Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced … Required qualifications, capabilities, and skills Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/ ...

platformsMentor and review work of other engineers to promote best practicesCreate durable, reusable software frameworks and patterns leveraged across teamsDesign and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controlsEstablish engineering standards for LLM-based applications, ensuring safety and reproducibilityDrive adoption of advanced technical methods … continuous improvementRequired qualifications, capabilities, and skillsPractical experience delivering system design, application development, testing, and operational stability at enterprise scaleExperience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environmentsProficiency in one or more programming languages, particularly Python and/or PySparkAdvanced knowledge ...

innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes … clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, weve provided guidanceon when and how to use AI during ...

industry knowledge and hands-on experience in designing complex enterprise and customer-facing solutions—leveraging cloud platforms, APIs, microservices, data, and emerging GenAI & Agentic AI technologies. You’ll also play a leading role in pre-sales initiatives, architecture governance, and end-to-end solution delivery within the practice and with … complex technical concepts and solution value to both technical and non-technical stakeholders, including C-level executives.Identify opportunities for accelerators, reusable assets, partnerships and AI-assisted engineering to improve speed, quality and client value.Your Skills:Essential experienceProven experience as a Mobile Solution Architect, Mobile Architect or senior mobile technology leader ...

digital products. You will have strong experience on React with Python and Large Language Models (LLMs) to support and enhance our client's AI-driven initiatives. Beyond technical expertise, you will follow software engineering best practices, including codebase security, testing, and scalability of AI systems. This role requires someone … APIs to efficiently connect frontend applications with backend services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using ...

standards· Lead team code review standards establishment conduct complex feature reviews, and drive quality improvements across team deliverables· Drive continuous improvement and champion responsible AI adoption with team governance practicesRequired Experience & SkillsTechnical Skills· Frontend Development: Strong proficiency with ASP.NET MVC, including performance optimisation and component architecture OR working knowledge with … Core Web APIs, REST, application architectures, and distributed systems· Database Systems and Data Architecture: Strong knowledge of SQL, NoSQL, CosmoDB and data architecture decisions.· AI-Assisted Software Engineering: Experience with integrating AI tools (Cursor, Copilot, Devin, Claude Code, etc.) in engineering practices to accelerate design, development, testing and debugging. Using ...