Engineer, Data Science

Posted 6 Hours Ago
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Hyderabad, Telangana, IND
In-Office
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Your talent powers our future.
The Role
Develop applied data science, machine learning, generative AI, and agentic AI solutions for automated manufacturing environments. Responsibilities include data extraction and transformation, feature engineering, statistical modeling, anomaly detection, distributed processing, ML application development, and integration with Snowflake and Azure platforms. The role requires production-quality software, analytical problem-solving, and communication of technical findings to technical and business stakeholders.
Summary Generated by Built In
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
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.

Skills Required

  • Strong interest in building a career in data science, machine learning, generative AI, and agentic AI
  • Hands-on experience or strong knowledge of machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised, unsupervised, and semi-supervised learning
  • Strong proficiency in Python and/or R
  • Solid software development and scripting capabilities
  • Experience with SQL databases and large-scale data platforms
  • Experience extracting and integrating data using SQL, APIs, ETL/ELT pipelines, and query mechanisms
  • Understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation
  • Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR
  • Experience with TensorFlow, PyTorch, scikit-learn, or comparable machine learning and statistical frameworks
  • Strong software engineering fundamentals, including maintainable, reusable, production-quality code and version-control practices
  • Strong analytical and problem-solving skills
  • Strong verbal and written communication skills
  • Knowledge of the Snowflake ecosystem and integration of Snowflake data with Python or machine learning applications
  • Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities
  • Experience with Microsoft Azure data, analytics, AI, and application deployment services
  • Experience with Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, or related services
  • Experience with time-series data, image data, semi-supervised learning, anomaly detection, or changing data distributions
  • Familiarity with SSIS, ETL/ELT processes, data pipelines, and data integration patterns
  • Exposure to Tableau, Power BI, JavaScript, or Angular
  • Experience with Manufacturing Execution Systems or semiconductor/manufacturing datasets
  • Experience with generative AI, RAG, AI agents, LLM applications, prompt engineering, or enterprise AI solutions
  • Publications at CVPR, NeurIPS, ICML, or KDD
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The Company
HQ: Boise, ID
45,000 Employees
Year Founded: 1978

What We Do

We are a world leader in innovative memory solutions that transform how the world uses information to enrich life for all. For over 45 years, our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications.

Why Work With Us

Global opportunities, team member development, and career advancement—Micron invests in you and celebrates your skills, a growth mindset, and the tenacity to strive. At Micron, everyone innovates.

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Micron Technology Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Micron recognizes the importance of maintaining a healthy work-life balance to foster a culture of collaboration, innovation and meet the needs of the business. In alignment with these values, we offer four flexible work arrangement options

Typical time on-site: Flexible
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