📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Micron Technology 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Python, TypeScript, React, Angular, SQL, Docker, Kubernetes, AWS, GCP, Azure, APIs, CI/CD, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python TypeScript React Angular SQL Docker Kubernetes AWS AI ENGINEER at Micron Technology — Full Details & How to Apply Micron Technology is hiring for an AI ENGINEER position in Hyderabad, India , with a specific requirement for hands-on experience in TensorFlow and PyTorch for building AI models on structured and unstructured data. This role is part of Micron Technology recruitment for technical AI solutions in a key technology hub. Explore AI ENGINEER jobs in Hyderabad, India jobs with direct access to cloud and machine learning infrastructure. This AI Engineer role is essential for designing data ingestion pipelines and training AI models that support Micron Technology ’s core technology initiatives. The responsibilities include developing end-to-end AI solutions using real-world data, with a focus on model training and deployment. The role directly involves building scalable AI systems using cloud platforms and containerization tools, ensuring operational efficiency in semiconductor-related technology workflows. The job posting confirms that Micron Technology is seeking an AI Engineer with a technical engineering background. The role is part of the company’s technology development efforts and emphasizes hands-on work with cloud platforms and AI frameworks. This position is under the Micron Technology recruitment pipeline and is targeted at experienced professionals in the tech domain. 2023, 2024, 2025, 2026 graduates with 5+ years. Hands-on with Python, TypeScript, React, Angular, SQL, Docker, Kubernetes, AWS, GCP, Azure, APIs, CI/CD, TensorFlow, PyTorch, AI / LLM agents. Relevant technical / engineering background and 5+ years experience are eligible. The salary for this role is Not Disclosed . Applicants will gain hands-on experience with Python , TypeScript , React , Angular , SQL , Docker , Kubernetes , AWS , GCP , Azure , APIs , CI/CD , TensorFlow , and PyTorch . This role provides a pathway into advanced AI model development and cloud-based AI infrastructure, offering progression into senior AI engineering and product development roles within technology firms. 📊 Role Difficulty: High | Competition Level: High | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Find more AI ENGINEER jobs and Hyderabad, India jobs through Micron Technology recruitment on our platform. Job Role & Responsibilities The AI Engineer at Micron Technology designs and deploys scalable AI solutions using TensorFlow and PyTorch , integrating Python backend services with React and Angular frontends to deliver real-time performance for memory and storage systems. This role ensures end-to-end AI pipelines from data ingestion to model deployment in production environments. Design end-to-end AI solutions including data ingestion pipelines using Python scripts and SQL queries to extract structured and unstructured data from enterprise databases. Build responsive front-end applications using React or Angular , integrated with Python services via FastAPI to deliver low-latency user interfaces for AI-driven storage analytics. Develop machine learning models using TensorFlow and PyTorch for predictive maintenance and failure detection in semiconductor systems, trained on structured and unstructured data. Implement observability capabilities using log aggregation and metric collection tools to monitor model performance and ensure latency and accuracy metrics meet SLA targets. Maintain existing codebases using Python and SQL , enforcing CI/CD best practices through Docker and Kubernetes pipelines to ensure deployment consistency and rollback capability. Document AI model performance reports and operational efficiency metrics, including precision , recall , and F1 score , to support internal audits and performance reviews. Collaborate with engineering teams to deploy TensorFlow and PyTorch models on AWS infrastructure, ensuring secure access and scalable compute resources. Troubleshoot AI solution failures by analyzing error logs and API response data, identifying root causes in Python services and FastAPI endpoints. This role demands direct ownership of AI solution performance, where every model training cycle, deployment event, and performance metric is tracked and validated in production environments. Required Skills & Technical Competencies The AI Engineer role requires a strong foundation in Python , TensorFlow , and cloud platforms such as AWS , with hands-on experience in containerization using Docker and Kubernetes . These skills are essential for building, deploying, and maintaining AI systems in production at Micron Technology . Technical Skills Python — advanced — used for developing backend AI services, data pipelines, and model training scripts using TensorFlow and PyTorch . TensorFlow — advanced — used for training and deploying machine learning models on structured and unstructured data in semiconductor analytics. AWS — intermediate to advanced — used for deploying AI applications, managing cloud infrastructure, and hosting model endpoints in production. Docker — intermediate — used to containerize Python and FastAPI services for consistent deployment across development and production environments. Kubernetes — intermediate — used to orchestrate containerized AI services, enabling auto-scaling and fault tolerance in production deployments. TypeScript — intermediate — used in front-end development with React to build dynamic UIs that interface with Python backend services. React — intermediate — used to develop responsive, real-time user interfaces that interact with FastAPI endpoints for AI-driven storage insights. Angular — intermediate — used to build enterprise-grade front-end applications that consume Python services and display AI-generated performance metrics. SQL — intermediate — used to extract and query data from enterprise databases for AI model training and performance evaluation. When preparing your resume, emphasize Python and TensorFlow projects with measurable outcomes, such as model accuracy improvements or latency reduction in real-world deployments. Eligibility Criteria This role is designed for candidates with a technical engineering background and 5+ years of hands-on experience in AI and backend development, specifically in Python , TensorFlow , and cloud environments. It is not open to freshers or students without prior industry exposure. Must hold a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field. Eligible application batches are 2023 , 2024 , 2025 , and 2026 . Must have 5+ years of professional experience in AI, machine learning, or backend engineering with Python and cloud platforms . CGPA or academic performance is not specified, but a strong technical foundation is required. Must have a documented portfolio showcasing AI model training using TensorFlow or PyTorch , with deployment on AWS or Kubernetes . Must have worked on real-world projects involving data ingestion , model evaluation , and API integration using FastAPI or Python services. Documentation & Portfolio Requirements Your resume must include a clear section on AI project experience , listing specific tools used (e.g., TensorFlow , Python , FastAPI ) and measurable outcomes such as model accuracy or response time improvements. Pro tip: Focus on your portfolio projects that demonstrate end-to-end AI pipeline execution — from data ingestion using SQL to model training with PyTorch and deployment on AWS via Docker and Kubernetes . Include metrics like precision , recall , and latency to show tangible impact. Salary for AI ENGINEER at Micron Technology 💰 Compensation Not Disclosed The advertised compensation for the AI ENGINEER role at Micron Technology is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI ENGINEER Upskilling with the right resources significantly enhances your chances of selection for the AI ENGINEER role at Micron Technology . Recommended Courses & Resources Python — Essential for developing AI applications and algorithms. TypeScript — Important for building scalable applications in AI projects. React — Useful for creating interactive user interfaces for AI solutions. SQL — Crucial for managing and querying data in AI applications. KodNest — Provides hands-on experience with AI and machine learning projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Python or TensorFlow — Ensure to provide specific examples. ❌ Using a generic resume — Tailor it to highlight relevant experience with the supplied responsibilities. ❌ Listing technologies like Docker or Kubernetes without context — Explain how they were applied in previous roles or projects. ❌ Ignoring the requirement for 5+ years of experience — This is essential for this position. ❌ Adding unrelated technologies or unsupported claims — This can dilute the relevance of your application. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for AI ENGINEER Optimizing your resume for ATS is crucial for standing out in the application process for the AI ENGINEER role. ATS Keywords to Include AI Engineer Python TensorFlow AWS Docker Kubernetes React Angular SQL CI/CD Machine Learning APIs Resume Tips for This Role Highlight your hands-on experience with Python and TensorFlow prominently on your resume. Emphasize familiarity with cloud platforms like AWS and GCP, as well as containerization tools like Docker . Showcase a project where you developed an AI solution or application using the listed technologies. Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experience or technologies that do not pertain to the AI Engineer role. How to Apply for AI ENGINEER at Micron Technology Apply Now — Micron Technology Open the official Apply URL and confirm the job title and company matches " AI ENGINEER " at Micron Technology . Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience for the AI ENGINEER role. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Micron Technology NexisGrow.com does not charge any fees for job applications. Micron Technology Micron Technology is a technology company based in Hyderabad, India. This AI Engineer role is onsite at Phoenix Aquila and operates within the technology industry. The position supports the development of AI-driven solutions using modern engineering tools and practices. The team designs and builds end-to-end AI solutions, including data pipelines, feature engineering, model training, and inference. They develop front-end applications using React or Angular , backed by Python services, and ensure robust testing and observability. Responsibilities include machine learning model development for structured and unstructured data. This role supports the creation of AI solutions that enhance how information is used. It offers early-career exposure to AI and machine learning workflows through hands-on work with Python , TensorFlow, PyTorch, and cloud platforms. This role provides early-career exposure to AI and machine learning through practical experience with Python , React , Angular , and cloud technologies. Candidates gain hands-on experience in building AI solutions from data to deployment. Company Details Industry Technology Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 micron.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 5+ years of experience from the eligible batches of 2023 to 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include Python, TensorFlow, AWS, Docker, and Kubernetes, as these are essential for the responsibilities outlined. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is 'Not Disclosed', which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review your experience with Python and TensorFlow. 2. Prepare examples of AI solutions you've worked on. 3. Familiarize yourself with AWS and GCP. 4. Understand CI/CD practices. 5. Be ready to discuss your experience with Docker and Kubernetes. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The role is onsite in Hyderabad, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to advanced AI technologies and methodologies, particularly in machine learning and cloud deployment. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, TensorFlow, AWS, and relevant project experience in AI development. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineering teams to develop AI solutions, as indicated in the job description. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 5+ years of experience. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Micron Technology Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com