
Engineer, Data Science
- 🇮🇳 India
- On-site
- 1 day ago
- Machine Learning
- Python
- SQL
- Snowflake
- Teradata
- Cortex
- AI
- AI/ML
- Azure
- Azure Data Factory
- Azure Databricks
- Azure OpenAI
- ETL
- ELT
- PySpark
- Apache Spark
- TensorFlow
- PyTorch
- scikit-learn
- SSIS
- Tableau
- Power BI
- JavaScript
- Angular
- RAG
Our vision is to transform how the world uses information to enrich life forall.
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.
Responsibilities include, but not limited to:
Strong interest in building a career inData Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments.
- Hands-on experience or strong knowledge inAgentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning.
- Strong proficiency inPython and/or R, with solid software development and scripting capabilities.
- Experience working withSQL databases and large-scale data platforms, includingSnowflake, Teradata, or similar technologies.
- Knowledge of theSnowflake ecosystem, including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications. Experience withSnowpark, Snowflake Cortex AI, or similar AI/ML capabilities is a plus.
- Experience withMicrosoft Azure technologies, particularly services used for data, analytics, AI, and application deployment. Exposure toAzure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, or related Azure services is desirable.
- Ability to extract and integrate data from multiple sources usingSQL, APIs, ETL/ELT pipelines, and other query mechanisms.
- Strong understanding ofdata cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques.
- Experience with distributed data processing technologies such asPySpark, Apache Spark, SparkR, or SparklyR.
- Experience withTensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks.
- Experience working withtime-series data, image data, semi-supervised learning, anomaly detection, and datasets with frequently changing distributions is a plus.
- Familiarity withSSIS, ETL/ELT processes, data pipelines, and data integration patterns.
- Exposure to visualization or application technologies such asTableau, Power BI, JavaScript, or Angular is beneficial.
- Experience working withManufacturing Execution Systems (MES) or semiconductor/manufacturing datasets is a plus but not required.
- Experience withGenerative AI, RAG, AI agents, LLM-based applications, prompt engineering, or enterprise AI solutions is highly desirable.
- Strong software engineering fundamentals, including writingmaintainable, reusable, production-quality code and working with version-control practices.
- Strong analytical and problem-solving skills with the ability to translate complex business/manufacturing problems into scalable data and AI solutions.
- Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders.
- Publications at conferences such asCVPR, NeurIPS, ICML, or KDD are a plus; however,this is an applied Data Science position rather than a research role.
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
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 contacthrsupport_india@micron.com
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. Â Â
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.
Engineer, Data Science · 1580 Micron Memory Taiwan Co.