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Micron Technology

Makes memory and storage chips for AI and PCs

Engineer – Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • 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, and 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 or machine learning applications.
  • Experience with Snowpark, Snowflake Cortex AI, or similar AI and machine learning 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 or 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 or manufacturing datasets is a plus but not required.
  • Experience with generative AI, retrieval-augmented generation, AI agents, large language model-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 or manufacturing problems into scalable data and AI solutions.
  • Strong verbal and written communication skills, with the ability to communicate technical findings effectively to technical and business stakeholders.

Responsibilities

  • Build a career in data science, machine learning, generative AI, and agentic AI within highly automated manufacturing environments.
  • Translate complex business and manufacturing problems into scalable data and AI solutions.

Desired Qualifications

  • Experience with Snowpark, Snowflake Cortex AI, or similar AI and machine learning 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 or manufacturing datasets is a plus but not required.
  • Experience with generative AI, retrieval-augmented generation, AI agents, large language model-based applications, prompt engineering, or enterprise AI solutions.
  • Publications at conferences such as CVPR, NeurIPS, ICML, or KDD are a plus.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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