Engineer, Data Science
Core
Building data science and AI solutions (ML, Generative AI, Agentic AI) for highly automated manufacturing environments.
Role type
Applied Data Scientist (Machine Learning & Generative AI)
Builds
Production data and AI solutions for manufacturing operations
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Python, R, SQL, Snowflake, Azure (Data Factory, Databricks, ML, OpenAI), PySpark, TensorFlow, PyTorch, scikit-learn, statistical modeling, feature engineering, data cleansing, ETL/ELT pipelines
Preferred skills
Generative AI, RAG, AI agents, LLM-based applications, prompt engineering, time-series data, image data, anomaly detection, Manufacturing Execution Systems (MES), Tableau, Power BI, JavaScript, Angular, publications at CVPR/NeurIPS/ICML/KDD
Technologies
Snowflake, Snowpark, Snowflake Cortex AI, Microsoft Azure, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, PySpark, Apache Spark, SparkR, SparklyR, TensorFlow, PyTorch, scikit-learn, Tableau, Power BI, Angular
Responsibilities
Extract and integrate data from multiple sources using SQL, APIs, and ETL pipelines; perform data cleansing, feature extraction, and outlier detection; build and deploy machine learning models for manufacturing problems; develop Generative AI and Agentic AI applications; write maintainable, production-quality code with version control.
Seniority
Mid-Senior, hands-on IC
