AI Co-Op
Wooster, OH · On-site
Prior internship experience or minimum 1 year of relevant work experience * Currently pursuing or ... Azure (preferred) (Azure Data Lake, Synapse, Azure ML) Preferred Qualifications * Hands-on ...
AI Co-Op
Wooster, OH · On-site
Prior internship experience or minimum 1 year of relevant work experience * Currently pursuing or ... Azure (preferred) (Azure Data Lake, Synapse, Azure ML) Preferred Qualifications * Hands-on ...
AI Co-Op
Wooster, OH · On-site
Prior internship experience or minimum 1 year of relevant work experience * Currently pursuing or ... Azure (preferred) (Azure Data Lake, Synapse, Azure ML) Preferred Qualifications * Hands-on ...
AI Co-Op
Wooster, OH · On-site
Prior internship experience or minimum 1 year of relevant work experience * Currently pursuing or ... Azure (preferred) (Azure Data Lake, Synapse, Azure ML) Preferred Qualifications * Hands-on ...
AI Applications Developer
OH · On-site +1
... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...
AI Applications Developer
OH · On-site +1
... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...
... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...
... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...
Internship Azure Databricks information
What is the difference between Internship Azure Databricks vs Data Engineer Intern?
| Aspect | Internship Azure Databricks | Data Engineer Intern |
|---|---|---|
| Required Skills | Azure, Databricks, SQL, Python | SQL, Python, ETL, Cloud platforms |
| Work Environment | Cloud-based, data analytics projects | Data pipelines, database management |
| Certifications | Azure certifications beneficial | Basic data engineering certifications helpful |
Internship Azure Databricks focuses on working with the Databricks platform on Azure for data analytics, while Data Engineer Interns work on building data pipelines and managing data infrastructure. Both roles require knowledge of SQL and Python, but Azure Databricks emphasizes cloud-based analytics, making it ideal for those interested in cloud data solutions.
What is an Azure Databricks internship?
An Azure Databricks internship is a temporary, hands-on role for students or recent graduates to gain practical experience working with Azure Databricks, a cloud-based data analytics platform. Interns typically assist with data engineering, data analytics, or machine learning projects using tools such as Apache Spark within the Azure environment. The internship helps participants develop technical skills, learn about big data processes, and contribute to real-world business solutions under the guidance of experienced professionals.
What are the key skills and qualifications needed to thrive as an Azure Databricks Intern, and why are they important?
To thrive as an Azure Databricks Intern, you need a solid understanding of data analytics, programming (especially Python or Scala), and foundational knowledge of cloud computing concepts. Familiarity with Databricks, Azure cloud services, SQL, and possibly certifications like Microsoft Azure Fundamentals are typically beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate with teams and adapt quickly in a fast-paced environment. These skills enable you to efficiently process and analyze data, contribute to projects, and make the most of your internship experience.
What are some common challenges faced during an Azure Databricks internship, and how can I prepare for them?
As an Azure Databricks intern, you may encounter challenges such as learning to navigate the Databricks workspace, understanding distributed data processing with Spark, and collaborating across multidisciplinary teams. To prepare, it's helpful to familiarize yourself with cloud computing basics, Python or Scala programming, and foundational data engineering concepts. You'll often work closely with data engineers and analysts, so strong communication and a willingness to ask questions are key to overcoming initial hurdles and making the most of your learning experience.
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What are popular job titles related to Internship Azure Databricks jobs in Ohio? For Internship Azure Databricks jobs in Ohio, the most frequently searched job titles are:
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ArtiFlex Manufacturing rating
7.9
Based on 5 frontline employees who took The Breakroom Quiz
Job description
AI Co-Op
General Description:Artiflex Manufacturing is seeking a highly motivated Technology Intern with a strong foundation in AI, data engineering, and modern software development to support real-world manufacturing, quality, and operations use cases. This role offers hands-on exposure to building, deploying, and scaling AI-driven applications using enterprise data.
The intern will work closely with engineering and business stakeholders to design, develop, and deploy data- and AI-powered solutions that improve operational efficiency, quality analytics, and decision-making across the organization.
Responsibilities:The intern will work closely with engineering and business stakeholders to design, develop, and deploy data- and AI-powered solutions that improve operational efficiency, quality analytics, and decision-making across the organization.
- Design, develop, and maintain AI and data-driven applications for manufacturing, quality, and operational analytics
- Work with large-scale datasets stored in SQL Server and cloud data platforms
- Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented Generation) systems
- Develop and deploy AI models and AI-powered applications into production environments
- Collaborate on data pipelines, ETL/ELT workflows, and analytics solutions (Databricks preferred)
- Contribute innovative ideas to solve complex, real-world manufacturing problems
- Follow Artiflex Code of Behaviors, engineering standards, and best practices
- Participate in code reviews, debugging, testing, and performance optimization
- Communicate clearly with technical and non-technical stakeholders
- Prior internship experience or minimum 1 year of relevant work experience
- Currently pursuing or recently completed a Master’s degree in Computer Science, Data Science, Information Technology, or Artificial Intelligence / Machine Learning (preferred)
- Strong programming skills in Python, SQL, and C / C++
- Experience working with large datasets and relational databases (SQL Server preferred)
- Strong understanding of modern AI trends, especially Generative AI
- Proven ability to think critically, solve problems quickly, and work independently
- Excellent communication and collaboration skills
- Familiarity with modern cloud-based data and AI platforms is preferred but not mandatory, such as:
- Lakehouse platforms (Databricks or Snowflake)
- AWS (S3, Glue, Athena, Redshift, SageMaker)
- Google Cloud Platform (BigQuery, Vertex AI, Cloud Storage)
- Azure (preferred) (Azure Data Lake, Synapse, Azure ML)
- Hands-on experience developing AI/ML models, applications, and deploying them to production
- Strong experience with RAG systems, vector databases, and embedding-based search
- Experience building, fine-tuning, or evaluating LLMs
- Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, OpenAI, etc.)
- Experience using CLI tools, Git workflows, and CI/CD pipelines
- Experience working on large, collaborative development teams
- Exposure to cutting-edge web technologies and AI-enabled applications
- Experience with UX/UI principles, design-centric approaches, and building engaging user interfaces
- Real-world experience applying AI and data engineering in manufacturing and enterprise environments
- Hands-on exposure to production-grade AI systems
- Opportunity to contribute directly to AI initiatives that impact operations and decision-making
About ArtiFlex Manufacturing
Sourced by ZipRecruiter
Industry
Motor vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Grand Rapids, MI, US