Engineer, Data Science

Micron Technology, Inc.; Hyderabad; On-site; INR 1,400,000 - 2,600,000; Full time

Job summary

Micron Technology, Inc. is seeking a data science professional to advance ML and AI initiatives in highly automated manufacturing environments in Hyderabad. The role focuses on building models, data pipelines, and analytics to optimize memory and storage operations.

Strong Python/R, SQL, and experience with Snowflake and Azure services are essential. Collaboration with cross-functional teams is required. The position entails applying time-series analytics, anomaly detection, and scalable data

Qualifications

• Hands-on data science, ML, and AI in manufacturing settings.
• Strong Python and/or R programming with scripting.
• Experience with SQL databases and large-scale data platforms (Snowflake, Teradata or equivalent).
• Knowledge of Snowflake ecosystem and AI/ML tooling (Snowpark, Cortex) desirable.
• Data cleansing, feature extraction, outlier/missing data handling, data quality.

Responsibilities

• Develop data science and ML models for automated manufacturing environments.
• Integrate Snowflake data with Python/ML applications and analytical workloads.
• Leverage Azure data services for deployment of AI solutions.
• Extract and consolidate data from multiple sources via SQL, APIs, ETL/ELT pipelines.
• Work with time-series data, anomaly detection, and predictive analytics.
• Collaborate with stakeholders to translate complex problems into scalable data solutions.

Skills

Python

SQL

ML

Azure

Snowflake

Spark

ETL/ELT

Tableau/Power BI

Tools

Snowflake

Azure Databricks

Tableau

Power BI

Job description

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

• 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

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 [e-mail]

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.