Micron
Engineer, Data Science
HyderabadFull-timePosted today
- Eligibility
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- Batch
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- Experience
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- Salary
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About this role
About the role
- Develop data science and machine learning solutions for highly automated manufacturing environments
- Build and deploy models using machine learning, statistical methods, and generative AI techniques
What you'll do
- Extract, transform and integrate data from multiple sources using SQL, APIs and ETL/ELT pipelines
- Perform exploratory data analysis, feature engineering and data quality checks including outlier detection and missing-data handling
- Build supervised, unsupervised and semi-supervised learning models
- Work with time-series data, image data, anomaly detection and datasets with shifting distributions
- Deploy models using distributed data processing with PySpark or Apache Spark
- Translate complex manufacturing problems into scalable data and AI solutions
- Communicate technical findings to both technical and business stakeholders
What they're looking for
- Proficiency in Python and/or R with strong software development practices
- Hands-on experience or strong knowledge in machine learning, statistical modeling and feature engineering
- SQL expertise and experience with large-scale data platforms such as Snowflake or Teradata
- Experience with machine learning frameworks like TensorFlow, PyTorch or scikit-learn
- Knowledge of Microsoft Azure data and analytics services, or familiarity with Azure Data Factory, Azure Databricks, or Azure Machine Learning
- Understanding of data cleansing, transformation and quality techniques
- Strong analytical and problem-solving skills
- Ability to write production-quality, maintainable code with version control
Good to know
- Experience with Snowflake ecosystem, Snowpark or Snowflake Cortex AI is a plus
- Generative AI, RAG, AI agents, LLM applications or prompt engineering experience is highly desirable
- Familiarity with Manufacturing Execution Systems or semiconductor datasets is beneficial but not required
- Exposure to Tableau, Power BI, JavaScript or Angular is helpful
- Publications at CVPR, NeurIPS, ICML or KDD conferences are a plus but this is an applied role, not research
- SSIS and ETL/ELT pipeline experience is valuable