Corning is seeking an AI/ML Advanced Data Analytics Engineer to design and develop solutions for automating data access, data visualization, and machine learning model development to solve manufacturing and business problems.
Requirements
- Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.
- Demonstrated programming proficiency in Python and .NET/C-Sharp
- Understand concepts of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments
- Familiarity with tools such as Databricks and AWS platform services.
Responsibilities
- Develop and implement AI/ML data science methodologies and AI Products that align with business objectives.
- Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve manufacturing and business problems
- Collaborate with data scientists, process engineers, and controls engineers to understand and automate data operations like transformation and normalization.
- Design monitoring systems to ensure the models perform well.
- Generate documentation on data analytics pipelines and processes.
- Leverage tools such as Databricks and AWS Datasync to manage data, build models, and deploy solutions.
- Stay abreast of the latest data science and AI/ML trends and technologies, identifying opportunities for innovation and improvement.
Other
- 2-4 years of relevant technical experience in a manufacturing environment.
- Ability to Communicate well with users, other technical team to collect requirements, describe data modeling decisions.
- Cultural bias towards continual learning, sharing best practice, encouraging, and elevating less experienced colleagues as they learn
- Domestic travel up to 25%.
- This position does not support immigration sponsorship.
