AI ENGINEER, SMAI
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Before you apply
LocationHyderabad - Phoenix Aquila, India
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
PostedNov 3, 2026 · 4d ago
Verified live5h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted
5+ years building and shipping production web or AI applications end to end
Experience developing and deploying web applications, APIs, or data-driven solutions
Hands-on experience with at least one cloud platform (AWS, Azure, or GCP)
Strong programming skills in Python and modern Angular/TypeScript
Data architecture, encompassing data structures and schemas, along with strong SQL writing and comprehension skills
Experience with Docker, Kubernetes/OpenShift, and CI/CD development practices
Working knowledge of GenAI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), LLM integration, agentic AI concepts, model evaluation, and Responsible AI practices
Ability to apply AI literacy and digital fluency to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, automation, and achieving business outcomes
Machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
Prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI
Strong analytical and problem-solving skills
Effective communication and collaboration skills
Ability to learn quickly and adapt in a fast-paced environment
Experience in semiconductor manufacturing, industrial automation, or smart manufacturing environments
Exposure to MLOps, machine learning model deployment, or enterprise AI applications
Familiarity with MES, Industrial IoT, or equipment automation systems
Experience in Building AI Agents
Skills
Python
React
Angular
Streamlit
FastAPI
Docker
Kubernetes
OpenShift
GitHub Actions
AWS
Azure
GCP
TensorFlow
PyTorch
scikit-learn
SQL
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.
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.
Senior AI Engineer, EEF, SMAI
Job Summary
Join Micron Technology at a defining moment in our AI and smart manufacturing transformation. As a and 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
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Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities.
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Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type-safe development and test coverage practices.
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Support development and implementation of machine learning and AI models for structured and unstructured data.
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Support development of analytics and AI solutions that improve manufacturing and operational decision-making.
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Support integration of LLMs and agentic AI capabilities into manufacturing and engineering workflows.
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Support integration of robotics platforms, AMRs, tool automation systems, control systems, and the Micron MES ecosystem.
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Develop and maintain containerized applications using Docker and deploy solutions through Kubernetes or OpenShift environments.
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Work with data platforms and modeling environments to support scalable AI application development.
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Build, train and deploy predictive machine learning models.
Other Responsibilities
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Contribute to CI/CD pipelines and automated software release processes using tools such as GitHub Actions, while supporting monitoring, drift detection, model evaluation, and feedback loop implementation for production AI applications.
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Apply Responsible AI practices, including input validation, prompt-injection prevention, PII/IP protection, model governance, and audit logging.
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Support application and model optimization efforts to improve performance, reliability, scalability, and cost efficiency.
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Support testing, debugging, technical documentation, installation, and maintenance activities for AI and software solutions.
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Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while complying with organizational standards, legal requirements, and governance policies.
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Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
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Building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms.
Minimum Required Qualifications / Experience
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Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience accepted.
•
5+ years building and shipping production web or AI applications end to end.
•
Experience developing and deploying web applications, APIs, or data-driven solutions.
•
Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).
Must Have Technical Skills
•
Strong programming skills in Python and modern Angular/TypeScript.
•
Data architecture, encompassing data structures and schemas, along with strong SQL writing and comprehension skills.
•
Experience with Docker, Kubernetes/OpenShift, and CI/CD development practices.
•
Working knowledge of GenAI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), LLM integration, agentic AI concepts, model evaluation, and Responsible AI practices.
•
Ability to apply AI literacy and digital fluency to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, automation, and achieving business outcomes.
•
Machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
•
Prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI.
Must Have Soft Skills
•
Strong analytical and problem-solving skills.
•
Effective communication and collaboration skills.
•
Ability to learn quickly and adapt in a fast-paced environment.
Highly Desirable / Preferred Skills or Experience
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Experience in semiconductor manufacturing, industrial automation, or smart manufacturing environments.
•
Exposure to MLOps, machine learning model deployment, or enterprise AI applications.
•
Familiarity with MES, Industrial IoT, or equipment automation systems.
•
Experiecne in Building AI Agents
Embody Micron’s Core Values
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People – Respect, develop, and empower others.
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Innovation – Drive continuous improvement and breakthrough thinking.
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Tenacity – Show grit and determination.
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Collaboration – Build trust and foster teamwork.
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Customer Focus – Deliver excellence and value.
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Speed – Act with purpose and set the pace.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
Legal
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert**:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate’s true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.