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Senior Azure Ai Engineer Jobs in Indiana (NOW HIRING)

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge. * Containerization ...

Senior Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

Azure, Azure AI Foundry, Azure DevOps, or related Microsoft cloud tools * Salesforce or other enterprise platforms * Observability tools such asLangfuse, New Relic,OpenTelemetry, or similar platforms

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next ... AI/ML use cases. You will partner closely with data architects, analytics engineers, data ...

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next ... AI/ML use cases. You will partner closely with data architects, analytics engineers, data ...

$84K - $111K/yr

Job Requisition ID # 26WD99820 Position Overview Autodesk is seeking a Senior Cloud & AI FinOps ... AWS, Azure, GCP) as well as specialized SaaS AI platforms, developer tooling, and API foundation ...

Senior AI Full Stack Engineer | About You As a Senior AI Full Stack Engineer, you are responsible ... Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI ...

Showing results 21-40

Senior Azure Ai Engineer information

What is a senior Azure AI engineer?

A Senior Azure AI Engineer is an experienced professional who designs, develops, and deploys artificial intelligence solutions using Microsoft Azure's cloud-based services. They work with tools like Azure Machine Learning, Cognitive Services, and AI infrastructure to build applications that leverage machine learning, natural language processing, computer vision, and more. Their role often involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, secure, and effective AI-powered solutions. In addition to technical implementation, Senior Azure AI Engineers typically mentor junior team members and contribute to best practices within their organization.

What are the key skills and qualifications needed to thrive as a senior Azure AI engineer?

To thrive as a Senior Azure AI Engineer, you need advanced expertise in machine learning, deep learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Azure AI services, Python or R programming, and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Strong problem-solving, communication, and project management skills help drive innovation and lead cross-functional teams. These capabilities are essential for designing scalable AI solutions that meet business objectives and leverage the full potential of Azure’s platform.

How does a senior Azure AI engineer typically collaborate with data scientists and other engineering teams?

As a Senior Azure AI Engineer, you will frequently work alongside data scientists to design, develop, and deploy machine learning models using Azure's AI services. Collaboration involves translating business requirements into robust AI solutions, optimizing model performance, and integrating these models into production systems. You will also partner with DevOps and cloud infrastructure teams to ensure scalable, secure, and maintainable deployments. Effective communication and a proactive approach to knowledge sharing are key, as you’ll often guide junior engineers and contribute to cross-functional project planning.
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Senior Computer Vision Engineer

Matrix Design Group LLC

Newburgh, IN • On-site

$99K - $136K/yr

Full-time

Re-posted 22 hours 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.