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Python Engineer Agentic Ai Salary India Jobs

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Z
Zscaler
📍 United States• Remote• $134K – $167.5K/yr
25 days ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an Insider Risk Security Engineer to join our team. This is a Remote (United States) role, reporting to the Senior Architect in the Enterprise Security Dept department. Serving as a senior contributor on the Insider Risk program within Enterprise Security, you will take operational direction from the Insider Risk Team Lead while operating with high ownership to refine playbooks, lead detection engineering, mentor junior analysts, and represent the team with HR, Legal, and executive stakeholders. What you’ll do (Role Expectations) Sharpen the Insider Risk Program’s detection capabilities by refining rules to reduce noise, close coverage gaps, and surface high-fidelity alerts in adequate time Perform endpoint and user activity investigations using EDR/XDR, UEBA, and SIEM tools, managing cases end-to-end to create factual timelines Drive the development and iteration of insider Risk investigation playbo

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CI
28 days ago

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! Our Solution (Pre-Sales) Engineers are the primary technical field experts, responsible for actively driving and managing the technical components of a sales engagement. This includes explaining Couchbase advantages and differentiators, and how our Couchbase solutions stack meets these customer challenges, all while getting customers excited about using this new approach for delivering consistent business value. This specific position focuses on assisting customers who interact with our technology via application code and the application development process. This development centric position requires experience in Presales, software development experience as well as time developing business solutions. Experience with one or more Enterprise Programming Languages and Solution Development methodologies. Location: D

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CT
Clutch Technologies Inc.
📍 Toronto• Full-time• From $200K/yr
29 days ago

About Clutch: We’re on a mission to reinvent the way people buy, sell, and own cars. Are you game? Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that’s just the beginning. Named five years in a row to the Globe & Mail’s list of the Top Growing Companies in Canada and also awarded spots on Deloitte’s Technology Fast 50™ and Fast 500™ lists, we’re looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017 and currently services Ontario, New Brunswick, Nova Scotia, British Columbia, and Prince Edward Island. Clutch is backed by a number of world-class investors, including D1 Capital, Canaan, Real Ventures, BrandProject, and Upper90. To learn more, visit clutch.ca . About the Role Platform Engineering is becoming a strategic investment at Clutch, and we're looking for our first dedicated Staff Platform Engineer to help define what that looks like. This isn't about maintaining infrastructure, it's about building the internal platform that enables every engineer at Clutch to move faster, ship safer, and operate at scale. You'll partner closely with engineering leadership to define our platform strategy, establish engineering standards, and build the self-service tooling, infrastructure, and developer workflows that become the foundation for how engineering operates. From CI/CD and cloud infrastructure to developer experience, observability, and internal tooling, you'll own the technical direction of the platform and have the autonomy to build it the right way. We're looking for someone who enjoys solving organization-wide engineering problems, thinks in systems rather than individual services, and wants to create leverage for dozens

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About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US Available Terms Winter/Spring (January - May 2027) Summer (May - September 2027) About the Role Anytime we push code, it automatically affects the millions of Internet properties (powering websites, remote teams, APIs, mobile apps, etc.) running on our global network. Cloudflare's network is one of the largest in the world and spans over 330 cities in more than 125 countries. What's more, Cloudflare operates within 5

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R
Robinhood
📍 Bellevue• $187K – $220K/yr
1mo ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for thoughtful problem-solvers and builders who want to make a meaningful contribution. Robinhood is a place where people take ownership of their work and help improve financial access for all. We operate with high standards, clear accountability, and a strong focus on security and ethics in everything we build! The Red Team’s mission is to identify and reduce real-world security risks across Robinhood by simulating adversary behavior and testing defenses. As a Staff Offensive Security Engineer, you will plan and execute security assessments across applications, infrastructure, and physical environments, and partner closely with engineering and security teams to strengthen detection and response capabilities. You will help prioritize risk, contribute to remediation efforts, and develop tools and techniques that improve how we test and secure our systems. Your work will directly support the safety and reliability of products used by millions of customers. This role is based in our Bellevue, WA, New York, NY, Denver, CO or Menlo Park, CA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evangelize the Offensive Security Team’s Findings and Projects with stakeholders throughout the company and collaborate with other teams to create solu

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C
Cohere
📍 Toronto• Full-time• Remote• C$215K – C$295K/yr
1mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role is for people who love building tools for their coworkers. The Internal Applications team creates tools that help us create better models. In this role you will collaborate with internal stakeholders, which include annotators, ML researchers, product managers and more. Join our team of builders who create tooling that will pave the way for the next generation of large language models! As a Full-Stack Software Engineer on the Internal Applications team, you will: Work with a small talented and enthusiastic team of software engineers Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks Identify and remove roadblocks to enable your team to increase its engineering velocity. Build resilient systems that are mission-critical Keep up with the cutting edge and adopt new technologies to improve performance and reliability You may be a good fit if: You have experience shipping products with a large numb

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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 【職務概要】 SIC(Site Inventory Control) Planning Engineerとして、Fab15の生産能力を最大化し、顧客へのオンタイムデリバリーを確実に達成する重要な役割を担います。 SIC Planningは、Fab15、Supply Chain、そしてグローバルなDRAM Networkを結ぶ極めて重要な「コントロールタワー」です。需要・供給・生産能力・在庫・技術移行に関する情報を統合し、Fab15の代表として、短期・中期の生産計画と実行方針を迅速かつ明確に示します。 近年、Max-out要求の拡大、HBMを含む製品構成の変化、Metallization・EUV・W2W・クロスFabプロセスなどOffloadの複雑化により、SICの活躍領域と事業上の重要性は一段と高まっています。本ポジションでは、Fab15と他サイトの制約・余力を俯瞰し、シナリオ分析、Die Mix、Wafer Start、Output Profile、Offload Loopを一体的に設計し、全体最適につながる判断軸を提供します。 単に計画数値を策定するだけではなく、変化を先読みして論点を提示し、Supply Chain、MCT、Manufacturing、Engineering、NPI、各Fabと連携しながら、計画を実行へつなげる仕事です。データに基づく意思決定、AI活用、迅速なリスク検知、標準化・自動化、継続的改善を通じて、顧客コミットメントとFab15の安定運営を支えます。 Fab15の代表として、多くのステークホルダーを巻き込みながらグローバルDRAM Network全体の最適化に貢献できる、影響力と裁量の大きなポジションです。工場の運営だけでなく、グローバルネットワーク全体を動かす視点で仕事に挑戦したい方を歓迎します。 【職務内容】 Fab15、Supply Chain、DRAM Networkを結ぶコントロールタワーとして、短期・中期の生産計画および実行方針を策定・推進する 需要、供給、在庫、キャパシティ、サイクルタイム、歩留まり、顧客納期を統合的に分析し、Fab15としての判断軸および対応方針を提示する Max-out、Pull-in、Die Mix、NPIサンプル、TD品、Wafer Start、Output Profileを最適化し、生産能力と顧客コミットメントの両立を実現する Metallization、EUV、W2W、Probeなど複雑化するOffload運営において、送受計画、Capacity、Loop CT、優先度、実績およびリスクを管理する 複数Fabの制約と余力を可視化し、シナリオ分析を通じて全体最適となるクロスサイトのLoading・Offload戦略を提案する KPI(Pace、Cycle Time、Wafer Out、Delivery Adherence、Inventory)をモニタリ

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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 【職務概要】 SIC(Site Inventory Control) Planning Engineerとして、Fab15の生産能力を最大化し、顧客へのオンタイムデリバリーを確実に達成する重要な役割を担います。 SIC Planningは、Fab15、Supply Chain、そしてグローバルなDRAM Networkを結ぶ極めて重要な「コントロールタワー」です。需要・供給・生産能力・在庫・技術移行に関する情報を統合し、Fab15の代表として、短期・中期の生産計画と実行方針を迅速かつ明確に示します。 近年、Max-out要求の拡大、HBMを含む製品構成の変化、Metallization・EUV・W2W・クロスFabプロセスなどOffloadの複雑化により、SICの活躍領域と事業上の重要性は一段と高まっています。本ポジションでは、Fab15と他サイトの制約・余力を俯瞰し、シナリオ分析、Die Mix、Wafer Start、Output Profile、Offload Loopを一体的に設計し、全体最適につながる判断軸を提供します。 単に計画数値を策定するだけではなく、変化を先読みして論点を提示し、Supply Chain、MCT、Manufacturing、Engineering、NPI、各Fabと連携しながら、計画を実行へつなげる仕事です。データに基づく意思決定、AI活用、迅速なリスク検知、標準化・自動化、継続的改善を通じて、顧客コミットメントとFab15の安定運営を支えます。 Fab15の代表として、多くのステークホルダーを巻き込みながらグローバルDRAM Network全体の最適化に貢献できる、影響力と裁量の大きなポジションです。工場の運営だけでなく、グローバルネットワーク全体を動かす視点で仕事に挑戦したい方を歓迎します。 【職務内容】 Fab15、Supply Chain、DRAM Networkを結ぶコントロールタワーとして、短期・中期の生産計画および実行方針を策定・推進する 需要、供給、在庫、キャパシティ、サイクルタイム、歩留まり、顧客納期を統合的に分析し、Fab15としての判断軸および対応方針を提示する Max-out、Pull-in、Die Mix、NPIサンプル、TD品、Wafer Start、Output Profileを最適化し、生産能力と顧客コミットメントの両立を実現する Metallization、EUV、W2W、Probeなど複雑化するOffload運営において、送受計画、Capacity、Loop CT、優先度、実績およびリスクを管理する 複数Fabの制約と余力を可視化し、シナリオ分析を通じて全体最適となるクロスサイトのLoading・Offload戦略を提案する KPI(Pace、Cycle Time、Wafer Out、Delivery Adherence、Inventory)をモニタリングし、逸脱の早期検知、影響評価、リカバリー方針の策定をリードする Supply Chain、MCT、Manufacturing、Engineering、NPI、IEおよび他Fabと連携し、計画と現場実行の整合を図る

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L
Lyft
📍 Toronto• Full-time• From C$40/hr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for an internship in Toronto Strong knowledge of CS fundamentals Knowledge of Python, JavaScript, CSS, and HTML Experience working with leading JavaScript frameworks, like React Experience with modern frontend testing tools, such as Webpack, Babel, Jest, Jasmine, Protractor, and WebDriver Understanding of how browsers and DOM work Experience with Git or other distributed version control systems Experience with browser developer tools Experience with the Unix command line interface Solid understanding of web performance Experience with TypeScript Experience with CSS

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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for an internship in Toronto Strong knowledge of CS fundamentals Knowledge of Python, JavaScript, CSS, and HTML Experience working with leading JavaScript frameworks, like React Experience with modern frontend testing tools, such as Webpack, Babel, Jest, Jasmine, Protractor, and WebDriver Understanding of how browsers and DOM work Experience with Git or other distributed version control systems Experience with browser developer tools Experience with the Unix command line interface Solid understanding of web performance Experience with TypeScript Experience with CSS

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Tubi - Canada
📍 Toronto• Full-time• Hybrid• C$116K – C$235.1K/yr
1mo ago

About the Role: Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation. As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for designing, building, and running the resilient, scalable, and increasingly self-healing systems that power our products. You will apply sound engineering principles to solve our most complex reliability challenges, with a mandate to automate everything, eliminate toil, and write robust, maintainable code. You will be a force multiplier, mentoring other engineers and elevating the site reliability bar for the entire organization. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: System Architecture & Design: Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems. Partner with development teams as a reliability consultant, reviewing designs and influencing architectural decisions to ensure new services are built with reliability, observability, and performance as core principles, not afterthoughts. Automation & Software Development: Write robust, performant, and maintainable code to automate operational tasks, and CI/CD pipelines. Build the internal tools, libraries, and frameworks that enable engineering teams to self-service their

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O
OpenAI
📍 San Francisco• Full-time• Remote• $197K – $278K/yr
1mo ago

About the team The Partner Applied AI Engineer team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner Applied AI Engineer, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the role We are looking for a driven solutions leader with a product mindset as one og the the founding Partner AIE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers. Work with senior SI and customer stakeholders to identify the best ap

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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

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M
1mo ago

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Senior Full-Stack AI Engineer, IPAI, SMAI Job Summary Join Micron's AI Revolution in Smart Manufacturing Be part of a groundbreaking transformation as Micron accelerates the future of AI-driven manufacturing. As a Senior Full-Stack AI Engineer , you will architect, build, and deploy cutting-edge AI applications that power smarter, faster, and more autonomous operations across Micron's global network of semiconductor fabs and assembly/test facilities. Working at the intersection of Artificial Intelligence, Software Engineering, and Advanced Manufacturing , you will collaborate with data scientists, engineers, and business stakeholders to develop scalable machine learning solutions, modern web applications, APIs, and intelligent automation platforms. Your work will directly influence how the world's most advanced memory and storage products are manufactured, driving efficiency, quality, and innovation at a global scale. Main Responsibilities Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. Architect and develop scalable full-stack AI applications usin

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M
1mo ago

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. AI Engineer, SMAI Job Summary Join Micron Technology at a defining moment in our AI and smart manufacturing transformation. As a Full-Stack AI Engineer, you will contribute to the design, development, deployment, and support of AI-powered applications that improve manufacturing operations across Micron's global network of fabs and assembly/test sites. You will work closely with data scientists, software engineers, and manufacturing stakeholders to build scalable AI solutions, web applications, APIs, and automation tools that enable data-driven decision-making and autonomous operations. Main Responsibilities Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type-safe development and test coverage practices. Support development and implementation of machine learning and AI models for structured and unstructured data. Support development of analytics and AI solutions that improve manufacturing and operational decision-making.</sp

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