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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Machine Learning Engineer - **Company:** Corning - **Location:** Newton, NC, United States - **Experience:** Experienced - **Salary:** $82,051.0 - $112,821.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, C Sharp (Programming Language), Cloud Database, Computer Programming, Extract Transform Load (ETL), Data Security, Data Visualization, Data Warehousing, Monitoring of Systems, Python (Programming Language), Machine Learning, DataOps, Information Technology, Data Analytics, Data Pipelines, Databricks - **Published:** July 11, 2026 - **Apply:** https://dejobs.org/x/x/1EBB3D77E87C428FA418502EFF545626/job/ ## About the Role * Bachelor's degree in Computer Science, Statistics, Engineer or related scientific field is preferred. * 2-4 years of relevant technical experience in a manufacturing environment. * Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques. * Demonstrated programming proficiency in Python and .NET/C# Education and Experience: Desired * 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. * 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 Travel Requirements: * Domestic travel up to 25%. ## Description The AI/ML Advanced Data Analytics Engineer will be part of a core solution development team working with domain experts, application developers, controls engineers, data engineers and data scientists. Their primary responsibility will be to design and develop solutions to automate data access, data visualization and develop machine learning models. These systems & solutions will span both cloud and on-premises environments and will require close collaboration with many technical teams to ensure success., * 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. * Participate in advanced data analytics COPs (communities of practice) to spread knowledge and drive governance and reusability of data analytics topics. * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)