Nvidia CUDA/HPC, Intel OpenVINO/OneAPI * AI Model Performance Optimization * Responsible AI Cloud AI Platforms: * AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx Top AI Models: * Llama, Gemini ...
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Nvidia CUDA/HPC, Intel OpenVINO/OneAPI * AI Model Performance Optimization * Responsible AI Cloud AI Platforms: * AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx Top AI Models: * Llama, Gemini ...
Openvino information
What is OpenVINO?
OpenVINO (Open Visual Inference and Neural Network Optimization) is a free toolkit developed by Intel to help developers optimize and deploy AI inference, particularly deep learning models, across Intel hardware such as CPUs, GPUs, VPUs, and FPGAs. It is mainly used for accelerating computer vision applications like image classification, object detection, and facial recognition. OpenVINO streamlines the process of converting and optimizing models from popular frameworks, making them faster and more efficient for edge and cloud deployments.
What skills and qualifications are needed to work with OpenVINO?
To thrive as an OpenVINO Developer, you need a solid background in computer vision, deep learning, and proficiency in Python or C++, often supported by a degree in computer science or a related field. Familiarity with the OpenVINO toolkit, neural network optimization, and frameworks like TensorFlow or PyTorch is essential. Strong problem-solving skills, attention to detail, and effective communication help developers collaborate and innovate in deploying AI solutions. These skills ensure optimized AI performance on edge devices and successful integration of machine learning models into production environments.
What challenges do professionals face when deploying AI models to edge devices using OpenVINO?
Professionals working with OpenVINO often encounter challenges related to optimizing and converting AI models to ensure they run efficiently on diverse edge hardware. These challenges include ensuring compatibility with various device architectures, minimizing inference latency, and handling limitations in memory and compute resources. Additionally, troubleshooting model conversion errors and maintaining accuracy during optimization are frequent tasks. Collaboration with hardware engineers and software developers is also essential to address performance bottlenecks and integrate solutions smoothly into production environments.
What is the difference between Openvino vs Computer Vision Engineer?
| Aspect | Openvino | Computer Vision Engineer |
|---|---|---|
| Required Credentials | Knowledge of AI frameworks, hardware optimization, programming skills | Degree in Computer Science, Electrical Engineering, or related fields; experience in AI and image processing |
| Work Environment | Tech companies, AI development labs, hardware manufacturers | Research institutions, tech firms, startups, or industry-specific companies |
| Employer & Industry Usage | Primarily used in AI inference optimization, embedded systems, and hardware acceleration | Developing and implementing computer vision algorithms for applications like surveillance, robotics, and autonomous vehicles |
Openvino focuses on optimizing AI inference workloads and hardware acceleration, often requiring knowledge of AI frameworks and hardware. In contrast, a Computer Vision Engineer designs and develops vision algorithms, working across various industries. While both roles involve AI and image processing, Openvino is more specialized in deployment and optimization, whereas Computer Vision Engineers focus on algorithm development and application.
What are popular job titles related to Openvino jobs in Minnesota?
For Openvino jobs in Minnesota, the most frequently searched job titles are:
- Embedded Machine Learning Engineer
- Senior Machine Learning Engineer
- Machine Learning Engineer Intern
- Associate Solutions Architect
- Contract Machine Learning Engineer
- Junior Machine Learning Engineer
- Machine Learning Engineer New Grad
- Machine Learning Engineer Apprenticeship
- Machine Engineer
- Remote Senior Cloud Solution Architect
What job categories do people searching Openvino jobs in Minnesota look for?
The top searched job categories for Openvino jobs in Minnesota are:
What cities in Minnesota are hiring for Openvino jobs?
Cities in Minnesota with the most Openvino job openings:
Job description
Job Title: Senior AI Solution Architect
Location: Minneapolis, MN
Duration: Full-time
15+ years in software engineering, AI/ML solutions, Cloud modernization with strong presentation and customer engagement skills.
Role Overview: As a Senior AI Solution consultant, you will lead the design and implementation of cutting-edge AI solutions across diverse domains. You will collaborate with cross-functional teams to architect scalable, secure, and high-performance AI systems leveraging advanced machine learning, deep learning, and generative AI technologies. Able to work closely with customer to engage and win large AI related business across multiple LOBs.
Key Responsibilities:
- Customer engagement: Able to connect with customers to understand business need, drive proposal presentation and win the same for Wipro
- Solution Architecture: Understand and drive high level solutioning for AI systems, including data preprocessing data pipelines, model training, deployment, and integration with enterprise applications.
- Generative AI & LLMs: Architect high level of solutions using Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG).
- Performance Optimization: Optimize AI models for speed, scalability, and cost efficiency using frameworks like DeepSpeed, PyTorch Lightning, and Hugging Face Accelerate.
- Agentic AI: Drive autonomous AI agents leveraging frameworks like AutoGen, LangGraph, and Declarative Copilots.
- Collaboration: Work with hyperscalers (AWS, Azure, GCP, IBM) to scale solutions from POC to production.
- Domain Expertise: Deliver AI solutions tailored for healthcare domain. — This is key
Must have Skills:
- Programming: Python (expert), OOP, Data Structures & Algorithms
- Design Patterns and Software Architecture
- Python Libraries: NumPy, SciPy, Pandas, Matplotlib
- AI Frameworks: PyTorch (preferred), TensorFlow, Scikit-learn
- ML/DL fundamentals
- Microservices, Containers (Docker), basic Kubernetes
- Tools: Jupyter Notebook, GitHub, GitHub Copilot, JIRA, CI/CD, DevOps
- Strong problem-solving and debugging skills
Advanced AI Skills:
- LLM/AI Model Training: DeepSpeed, PyTorch FSDP, Hugging Face PEFT, LoRA/QLoRA
- Evaluation Metrics for LLMs
- Distributed Training: Ray (Core, Data, Train, Tune)
- PyTorch Ecosystem: PyTorch Lightning, Hugging Face Transformers, Accelerate
- Additional Frameworks: TensorFlow, Keras, XGBoost
- Agentic AI Frameworks: AutoGen, LangGraph, Declarative Copilots
Specialties:
- AI System Design
- Nvidia CUDA/HPC, Intel OpenVINO/OneAPI
- AI Model Performance Optimization
- Responsible AI
Cloud AI Platforms:
- AWS Bedrock, GCP Vertex AI, Azure OpenAI, IBM Watsonx
Top AI Models:
- Llama, Gemini, GPT, Claude
Qualifications:
- Bachelor’s/Master’s in Computer Science, AI/ML, or related field
- Proven experience in architecting enterprise-scale AI solutions
- Strong leadership and communication skills
Best Regards,
Srinivas
Sr. US IT Recruiter
Email: srinivas@smartfolksinc.com
About Smart Folks
Sourced by ZipRecruiter
Smart Folks Inc. (SFI) is a global IT Staff Augmentation and Consulting Services that discovers handpicked smart talent and routes them to the right path. Smart Folks Inc. was founded in 2011 and is headquartered in McKinney, Texas. We have global operations with localized detail to meet the high caliber needs of our clients.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
McKinney, TX, US
Year founded
2011