Mirelo AI jobs

AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation

AI Data Trainer (Arabic), Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About

Senior AI Developer (Generative & Agentic AI (SAP BTP) Country Australia | Internal Posting Location Sydney We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. SAP is seeking a highly skilled Senior AI Developer to build and deliver enterprise-grade Generative AI and Agentic AI applications on SAP Business Technology Platform (BTP). As part of the Customer Engagement & Adoption (CE&A) - Global Delivery Hub, you will work closely with solution architects and customer teams to implement scalable, production-ready AI solutions that accelerate AI adoption across SAP landscapes. This role focuses on hands-on solution development and implementation, translating architectural designs and business requirements into robust, high-performing AI applications for enterprise deployment. Key Responsibilities Develop and implement scalable Generative AI and agentic AI applications aligned with defined solution architectures. Translate business and architectural requirements into production-ready AI application components and services. Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios. Implement multi-ag

Senior AI Engineer (Agentic AI) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

Senior AI Engineer (AI Factory) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

Generative AI Solutions Architect, AWS Global Government Specialist SA Arlington, Virginia, USA Amazon Web Services is seeking a Generative AI Learning Solutions Architect to support our Global Government customers. Are you excited to help Government customers to leverage generative AI in their missions? Eager to learn from many different enterprise use cases of AWS ML and generative AI? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world's AI technology? Come join us! At Amazon Web Services (AWS), we are helping the federal government build and use AI on the AWS Cloud. We are AI to large volumes of data and against a wide spectrum of problems. Generative AI is rapidly growing in importance. We're seeing more and more amazing AI work being done from simple back office applications to complex mission changing agentic workflows. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping government customers understand how AI can make a big difference to their mission. This position requires that the candidate selected be a US Citizen and obtain and maintain an active Top Secret security clearance. Key job responsibilities As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing

AI Data Associate - Arabic, AGI DS Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet. - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video. - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team. - Analyze root causes, identify error patterns, and propose solutions to enhance the

Head of AI Transformation - APJC, Generative AI Innovation Center SGP Are you passionate about helping customers achieve business transformation through AI? Do you want to lead forward-deployed teams that embed directly into the enterprise and unlock real business outcomes? And are you ready to operate as a general manager across engineering, science, and commercial strategy in the fastest-moving space in AI and infrastructure? The AWS Generative AI Innovation Center (GenAIIC) is on a mission to accelerate enterprise AI transformation across global customers going from beyond isolated use cases to holistic, C-suite-sponsored initiatives that reshape how organizations operate. We combine deep AI expertise across science, strategy, and business transformation. We start with the customer's most critical operational challenges and work backwards, and deploy multidisciplinary teams that embed with the customer, prove impact in 45-day sprints, and expand across the enterprise. We are a fast-moving, entrepreneurial team that values leaders who can operate across technical depth and commercial breadth. As the Head of AI Transformation, GenAIIC APJC Geo, you will own the end-to-end success of AI transformation engagements across the Asia Pacific, Japan, and Greater China region. You will lead a team of ML engineers, AI scientists, and AI strategists who work alongside customers to architect and deliver AI solutions that move and stay in production, realizing value. You will regularly engage with CFOs, CIOs, and C-suite executives - selling transformation, not technology. You must bring a GM mindset: equal fluency in engineering, applied science, go-to-market, and customer delivery. You are

AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail New York, New York, USA AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us! At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition with deep learning; as is Prime Air. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage. Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and

AI & Surge Enablement Lead, EMEA Field Enablement Team, WWFE - EMEA Field Enablement London, England, GBR The AI & Surge Enablement Lead is the single-threaded owner of AI and Surge Inference enablement across the EMEA AGS Sales organisation. This is a high-visibility, high-impact role at the centre of EMEA's #1 strategic priority - equipping our field sales teams with the skills, knowledge, tools, and confidence to lead effective AI conversations with customers and accelerate Surge Inference outcomes at scale. Reporting to the Head of EMEA Enablement, this role owns the strategic enablement relationship with the EMEA AI and Surge Sales Leaders and their organisations, acting as their trusted enablement business partner. The AI & Surge Enablement Lead is responsible for independently developing and driving the AI enablement strategy and program roadmap for EMEA - spanning the full breadth of AI including generative AI, agentic AI, machine learning, AI services, and AI-powered sales tools. They will translate rapidly evolving AI capabilities into practical, field-ready enablement programs that move sellers from foundational AI literacy through to advanced customer engagement and opportunity progression. The successful candidate will be a strategic operator who combines deep domain curiosity with the ability to execute at pace. They will build and own strategic relationships with field leadership and AI stakeholders across EMEA, identify readiness gaps, design and deliver targeted enablement interventions, and measure impact against business outcomes. They will serve as the recognised voice of the field on AI enablement needs and act as the channel

AI Data Associate with French, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose

Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As

Sr. Worldwide Partner Specialist - Agentic AI, Data & AI GTM San Francisco, California, USA The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. Key job responsibilities Key Responsibilities: • Collaborate with AWS GenAI partners, helping them envision and

Expert AI Developer in Hyperspace Security & Quality Tools team Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build We are looking for an AI Development Expert to join our Security and Quality Tools team within Hyperspace. We're seeking a passionate and skilled individual, who sits at the intersection of applied AI and developer tooling, and is excited about shaping how AI transforms the way we build and secure software. In this role, you will architect and deliver AI-powered capabilities across our portfolio of security and quality tools, spanning from intelligent code analysis and vulnerability triage, to AI-assisted remediation workflows and developer productivity features. You won't just integrate existing AI APIs; you'll design the systems, patterns, and pipelines that make AI reliable and trustworthy inside enterprise-grade tooling. Key Responsibilities: End-to-end AI features that directly improve how development teams detect, understand, and fix security and code-quality issues in their code, while adhering to the organizational

Consulting AI & Data Platform Brazil, BR The professional will be responsible for connecting AI strategy, Oracle AIDP, OCI, Generative AI, data platforms, solution architecture, delivery execution, reusable assets, and commercial acceleration. The ideal candidate must be able to engage executives, challenge weak assumptions, translate business problems into AI solutions, lead technical teams without ambiguity, and convert AI demand into qualified opportunities, prototypes, proposals, and scalable delivery programs. This is a senior role requiring strong executive presence, hands-on AI credibility, commercial attitude, and the ability to operate effectively across Presales, Delivery, Product, and customer stakeholders. Responsibilities • Lead the AI strategy for the Oracle AIDP service practice across LATAM, including Generative AI, RAG, agents, analytics, data modernization, and industry use cases. • Act as the senior AI authority in strategic opportunities, executive workshops, engagements, architecture reviews, and proposal defense. • Translate business challenges into AI solutions with clear value hypotheses, KPIs, architecture, delivery scope, risks, and investment rationale. • Lead solution design for Oracle AIDP-based AI architectures, including Autonomous AI Database, Oracle AI Vector Search, OCI Generative AI, Data Integration, Lakehouse, Analytics, governance, and security. • Build reusable AI assets, including playbooks, demo patterns, reference architectures, estimation models, RAG templates, agent blueprints, and implementation accelerators. • Mentor and raise the technical bar for IC1-IC3 engineers, technical leads, project managers, and presales teams. • Support execution from qualification to prototype and commercial proposal, ensuring each engagement creates a credible path. • Establish AI delivery standards for responsible AI, security, privacy, model

Senior Applied Scientist, ASCS AI Lab Team Seattle, Washington, USA We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences. Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation. Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store. Key job responsibilities - Design and implement novel AI solutions for Amazon catalog of products - Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models - Build and deploy autonomous AI Agents in Amazon production ecosystem - Scale AI models to handle billions of diverse products across multiple languages and geographies - Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models,

Sr. Software Dev Engineer, Alexa AI Logistics for Infrastructure, Cost, & Efficiency Bengaluru, Karnataka, IND Are you passionate about building and operating the world's largest real-time LLM inference systems? Are you a technical leader who thrives in high-ambiguity environments and wants to drive architectural decisions that impact millions of Alexa customers daily? If so, the Alexa AI Logistics for Infrastructure, Cost, and Efficiency (ALICE) team is looking for a Senior Software Development Engineer to join our new India team and own critical components of Alexa's LLM inference infrastructure. Alexa is shaping the future of AI voice-based personal assistants. At ALICE, we are passionate about infrastructure efficiency, cost optimization, and capacity management to enable amazing customer experiences at scale. You will be a founding technical leader of our India presence, setting the bar for engineering excellence and driving high-impact work on one of Amazon's most critical AI services. Key job responsibilities - Serve as the technical anchor for the ALICE India team, driving architecture decisions for the AlexaLLMInferenceService (LLMI) and related ALICE portfolio services - Design and implement scalable, high-availability systems for LLM inference serving, including multi-node distributed inference and multi-tenancy capabilities - Lead technical design reviews, set coding standards, and mentor junior SDEs on the team - Make technical trade-offs between short-term team needs and long-term business needs, with a focus on performance, cost, and reliability - Collaborate with ALICE teams in Seattle and partner teams across Alexa and AGI on cross-cutting infrastructure programs - Drive operational excellence for Tier-1

Senior BTP AI Expert Consultant (f/m/d) Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. YOUR FUTURE ROLE We are seeking an experienced AI Senior Consultant / Expert (f/m/d) to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions within our SAP technology landscape. You will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems that drive business value across our organization. What you'll do: Stay current with latest AI trends, tools, and frameworks and SAP technology strategy Advise our customers how SAP Business AI will support their processes and organization Support customers on implementation of scalable Generative AI and Agentic AI applications aligned with SAP reference architectures Collaborate with Product Owners to translate functional requirements into robust technical specifications Guide and mentor junior colleagues to foster AI engineering excellence across teams Work independently, set priorities, and resolve complex cross-functional challenges C

AI Engineer - Applied AI & Data Validation Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build At SAP, we enable you to bring out your best. Our culture is built on collaboration and a shared passion to help the world run better. SAP offers a highly collaborative, caring team environment with a strong focus on learning and development, recognition for individual contributions, and flexible benefit options. SAP is looking for an AI Engineer who can turn business problems into practical AI solutions and help ensure the data behind those solutions is accurate, relevant, and ready for use. This is a hands-on role for someone who enjoys building AI applications while also stepping in as an ad-hoc data scientist to assess source quality, validate assumptions, and improve data readiness across the delivery lifecycle. You will work with cross-functional teams to move high-value AI use cases from discovery to production, balancing speed, technical quality, and

Principal Security Solutions Architect, AI-Driven Guidance, Well-Architected Solutions Innovation Bellevue, Washington, USA Do you want to set the standard for how builders architect AI workloads that are secure, reliable, and efficient on AWS - with security as the foundation? We are looking for a Principal Security Solutions Architect with deep expertise in Machine Learning, Generative AI, and Agentic AI to own and drive the strategic vision for Security-focused Architectural Guidance Best Practices across AI workloads. You will operate at the intersection of AI technologies, cloud architecture, and security engineering, ensuring AI workloads achieve Well-Architected outcomes across all six pillars - Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability - with depth in the Security pillar. You will influence both internal AWS teams and the broader builder community. In this role, you will define the long-term technical direction for AI security architectural guidance, translate emerging AI/ML security patterns into prescriptive and actionable best practices grounded in the Well-Architected pillars, and influence AWS service design to better serve AI builders who need to secure their workloads across the full AI lifecycle. Key job responsibilities - Set Strategic Technical Direction for AI Security: Define and own the long-term vision and roadmap for AI/ML security architectural guidance aligned to the AWS Well-Architected Guidance pillars, with deep focus on the Security pillar - including identity, access control, data protection, data residency and sovereignty, threat detection, and incident response for AI workloads. - AI Security & Generative AI Thought Leadership: Serve as the organization's

Senior AI Engineer - User Assistance Platform Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll build Are you passionate about agentic AI and want to build systems that make a tangible global impact? Join SAP's User Assistance Content, Services and Infrastructure (UA CSI) organization to build the intelligent backbone that powers how over 1,000 professionals create and deliver documentation at scale. As an AI Engineer you'll own a production AI framework at the heart of SAP's global technical documentation landscape - developing AI agents that automate end-to-end content workflows, ensure the reliability of systems thousands of colleagues depend on, and ultimately improve the help experience for millions of SAP customers. You will design and build multi-agent AI systems using LangGraph on a cloud-native stack (SAP AI Core, Kubernetes), capable of reasoning across knowledge graphs. You will integrate agent tools connecting REST APIs and SAP internal services to embed AI-powered automation into core content workflows.

Staff Software Engineer, AI and Infrastructure Sunnyvale, CA, USA Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. Our team develops Borglet which is Google's “node agent”, responsible for managing the life cycle of all user processes that run on all our machines. The Borglet Infrastructure group in Borglet is a team of 30 SWEs (distributed between Sunnyvale and Warsaw) developing core pieces of Borglet (Software Architecture, Runtime, Machine Management, Storage) to deliver the container infrastructure that is scalable, extensible, efficient and secure. The team is focused on key large initiatives in MSCA like ML/AI Infrastructure (GPU/TPUs in Borg), Security, Capacity Fungibility, Warp Space (TI VMs). The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping

AI Security Engineer Warszawa Requisition Number: 45722 Overview: The person in this role demonstrates a high level of professionalism, prioritizing the management and successful delivery of moderately complex AI security projects. This role will actively contribute to defining and implementing the necessary guardrails for AI usage across Bunge, and ensure our IT platforms are robust and ready for the future AI environment. Responsibilities include providing leadership to AI security professionals, contributing to resource and policy development, and addressing complex security challenges within Bunge's AI environment. Main Accountabilities: Lead and manage significant operational plans and large-scale AI security projects and initiatives with substantial independence, contributing to their successful execution and strategic alignment, including playing a key role in developing and enforcing AI usage guardrails. Provide leadership and guidance to a team of AI security professionals and support staff, supporting their growth and ensuring their effective contribution to securing AI systems. Hold accountability for the successful results of large and/or moderately complex AI security projects, ensuring objectives are met within established parameters, and actively contributing to the readiness of Bunge's IT platforms for future AI integration. Contribute valuable input on resource planning and the development of security policies specifically tailored for AI/ML systems, ensuring these policies incorporate th

Expert Software Engineer - AI Data Platforms Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary: At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. SAP Business AI is responsible for central AI technologies and cloud services such as Joule, Generative AI Hub, AI Core, and other foundational AI capabilities powering AI across the SAP portfolio. Within this landscape, our team focuses on building scalable data platform services enabling AI use cases through trusted, governed, and high-quality business data. Our platform powers large-scale data ingestion, orchestration, processing, cataloguing, and exploration capabilities used across SAP Business AI scenarios. We are looking for an Expert Software Engineer with strong hands-on engineering expertise and technical leadership capabilities. This role is ideal for an experienced engineer who thrives in complex cloud-native environments, drives technical direction, mentors developers through hands-on collaboration, an