Engineer, Data Science
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Before you apply
LocationHyderabad - Phoenix Aquila, India
Company size10,000+ people
PostedOct 27, 2026 · 1w ago
Verified live16h ago
At a glanceSummarised by Seekless from the posting.
Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning
Strong proficiency in Python and/or R, with solid software development and scripting capabilities
Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies
Knowledge of the Snowflake ecosystem, including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications
Experience with Microsoft Azure technologies, particularly services used for data, analytics, AI, and application deployment
Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines, and other query mechanisms
Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques
Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR
Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks
Familiarity with SSIS, ETL/ELT processes, data pipelines, and data integration patterns
Strong software engineering fundamentals, including writing maintainable, 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
Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities
Exposure to Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, or related Azure services
Experience working with time-series data, image data, semi-supervised learning, anomaly detection, and datasets with frequently changing distributions
Exposure to visualization or application technologies such as Tableau, Power BI, JavaScript, or Angular
Experience working with Manufacturing Execution Systems (MES) or semiconductor/manufacturing datasets
Experience with Generative AI, RAG, AI agents, LLM-based applications, prompt engineering, or enterprise AI solutions
Publications at conferences such as CVPR, NeurIPS, ICML, or KDD
Skills
Python
R
SQL
Snowflake
Snowpark
Snowflake Cortex AI
Azure Data Factory
Azure Databricks
Azure Machine Learning
Azure OpenAI
ADLS
PySpark
Apache Spark
SparkR
SparklyR
TensorFlow
PyTorch
scikit-learn
SSIS
Tableau
Power BI
JavaScript
Angular
MES
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.
Responsibilities include, but not limited to:
Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments.
•
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning.
•
Strong proficiency in Python and/or R, with solid software development and scripting capabilities.
•
Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies.
•
Knowledge of the Snowflake ecosystem, including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications. Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities is a plus.
•
Experience with Microsoft Azure technologies, particularly services used for data, analytics, AI, and application deployment. Exposure to Azure 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 using SQL, APIs, ETL/ELT pipelines, and other query mechanisms.
•
Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques.
•
Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR.
•
Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks.
•
Experience working with time-series data, image data, semi-supervised learning, anomaly detection, and datasets with frequently changing distributions is a plus.
•
Familiarity with SSIS, ETL/ELT processes, data pipelines, and data integration patterns.
•
Exposure to visualization or application technologies such as Tableau, Power BI, JavaScript, or Angular is beneficial.
•
Experience working with Manufacturing Execution Systems (MES) or semiconductor/manufacturing datasets is a plus but not required.
•
Experience with Generative AI, RAG, AI agents, LLM-based applications, prompt engineering, or enterprise AI solutions is highly desirable.
•
Strong software engineering fundamentals, including writing maintainable, 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 as CVPR, 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
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.