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Internship Azure Ai Jobs in Indiana (NOW HIRING)

$22 - $25/hr

Experience with AWS or Azure cloud-hosted applications * Experience or strong interest in AI ... Some prior experience with the education sector through internships What will help you stand out:

Internship Azure Ai information

What is an internship in Azure AI?

An Internship in Azure AI is a temporary position, often for students or recent graduates, that provides hands-on experience working with Microsoft Azure's artificial intelligence tools and services. Interns typically assist in developing, testing, and deploying AI solutions such as machine learning models, natural language processing, and computer vision applications using Azure's cloud platform. This role helps interns gain practical skills in cloud computing, data science, and AI, while working on real-world projects under the guidance of experienced professionals.

What types of projects can I expect to work on during an Azure AI internship?

As an Azure AI intern, you will typically engage in hands-on projects that involve building, testing, and deploying AI models using Microsoft Azure's cloud-based services. You might collaborate with software engineers and data scientists to develop solutions for real-world problems such as natural language processing, computer vision, or predictive analytics. Interns often have the opportunity to contribute to both ongoing team projects and independent initiatives, allowing you to gain practical experience with Azure Machine Learning, Cognitive Services, and DevOps tools. These experiences are designed to help you build technical skills, understand industry workflows, and prepare for full-time roles in AI and cloud computing.

What are the key skills and qualifications needed to thrive as an Azure AI intern, and why are they important?

To thrive as an Azure AI Intern, you need a solid understanding of programming languages (such as Python or C#), basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree program. Experience with Microsoft Azure cloud services, AI tools like Azure Machine Learning Studio, and certifications such as Microsoft Certified: Azure AI Fundamentals are typically beneficial. Strong problem-solving abilities, effective communication, and a willingness to learn help set candidates apart in this collaborative, fast-evolving field. These skills and qualities are crucial for efficiently contributing to projects, adapting to new technologies, and succeeding in a dynamic AI environment.

What is the difference between Internship Azure Ai vs Data Analyst?

AspectInternship Azure AiData Analyst
Required CredentialsBasic knowledge of Azure, programming, and data conceptsDegree in Data Science, Statistics, or related field; proficiency in SQL and Excel
Work EnvironmentTech companies, cloud service providers, AI-focused teamsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageUsed in cloud computing, AI development, and machine learning projectsUsed for data interpretation, reporting, and decision-making

Internship Azure Ai roles focus on gaining hands-on experience with Azure cloud services and AI tools, often suitable for those starting in cloud and AI fields. Data Analyst roles emphasize data interpretation and reporting skills across various industries. Both roles require analytical skills but differ in technical focus and industry application.

What are the most commonly searched types of Azure Ai jobs in Indiana?

The most popular types of Azure Ai jobs in Indiana are:

What cities in Indiana are hiring for Internship Azure Ai jobs?

Cities in Indiana with the most Internship Azure Ai job openings:

Senior Computer Vision Engineer

Matrix Design Group LLC

Newburgh, IN • On-site

$99K - $136K/yr

Full-time

Re-posted 14 days ago


Job description

Job Summary:
Matrix Design Group LLC is a company that designs, manufactures, and sells innovative technological products to enhance safety. The Senior Computer Vision Engineer will collaborate with software engineers and product managers to develop vision-based artificial intelligence algorithms, ensuring the design of safe and effective computer vision solutions.
Responsibilities:
• Prepare customer-facing presentations for custom model deployments
• Implement CI/CD pipelines for models, data, and source code
• Work with product and project managers to ensure that projects proceed on time and on budget
• Work with other engineers to develop a working understanding of how the AI is developing
• Document process steps to ensure reasonable human oversight
• Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
• Mentor junior engineers and interns
• Participate in code reviews and sprint planning
• Understand and apply best practices for object detection modeling
• Understand and apply TensorFlow, PyTorch, and ONNX core concepts
• Understand and apply hardware accelerator compilation and execution
• Understand and apply Jupyter Notebooks/Google Colab concepts
• Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines
Qualifications:
Required:
• All applicants must be able to provide proof of eligibility to work in the United States.
• Employment is contingent upon the successful completion of the I-9 form, as required by federal law.
• Candidates will be required to undergo an employment verification process before beginning work.
• Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended.
• 7+ years of experience in the ML space.
• An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch.
• Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO.
• Experience with containerization technologies such as Docker, Kubernetes, etc.
• Experience developing software using one or more of the following languages (C/C++, C#, Python).
• Experience with Linux and/or Windows OS.
• Experience with model, container, and package registries.
• Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry.
• Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
• Experience with multimodal models such as CLIP, GPT-4V, Llama.
• Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
• Strong understanding of source control concepts and CI/CD pipelines.
• Must have strong communication, computer, documentation, presentation, and interpersonal skills.
Preferred:
• Master’s degree in Artificial Intelligence a plus.
Company:
Matrix Design Group (Matrix) is the safety and productivity technology leader for industrial applications where people and mobile equipment work in close proximity. Founded in 1996, the company is headquartered in Newburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.