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YOLO

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Hire YOLO Developers and Engineers

Vladyslav, YOLO Developer

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

YOLO

YOLO

Data Analysis

Data Analysis   4 yr.

AWS ML (Amazon Machine learning services)

AWS ML (Amazon Machine learning services)   4 yr.

Neural Networks

Neural Networks

Data Mining

Data Mining

Business Analysis

Business Analysis

Viktoria T., YOLO Developer

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

YOLO

YOLO

Python

Python

Computer Vision (CV)

Computer Vision (CV)

Pandas

Pandas

ML

ML

AI

AI

Orkhan AI.

Orkhan AI., YOLO Developer

- 4+ years of experience in IT - Upper-Intermediate English - Available ASAP

YOLO

YOLO

Python

Python

Timur K.

Timur K., YOLO Developer

- Senior engineer with 5+ years of experience in Machine Learning, NLP and Computer Vision - Graduate student of the prestigious National University of Kyiv-Mohyla Academy - Upper-Intermediate English - Available ASAP

YOLO

YOLO

Python

Python

Only 3 Steps to Hire YOLO Developer

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2
Meet Carefully Matched YOLO Talents
Within 1-3 days, we’ll share profiles and connect you with the right YOLO talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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FAQs on YOLO Development

What is a YOLO Developer? Arrow

A YOLO Developer is a specialist in the YOLO framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a YOLO Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened YOLO Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a YOLO Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on YOLO, then hiring a YOLO Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified YOLO Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a YOLO Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire YOLO Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire YOLO Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of YOLO Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a YOLO Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a YOLO Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is YOLO used?

How and where
  • Object Detection: Identify objects in images/videos
  • Autonomous Vehicles: Assist in real-time object detection for self-driving cars
  • Medical Imaging: Aid in detecting abnormalities in medical scans
  • Retail Security: Monitor and detect theft in retail stores
  • Sports Analytics: Track player movements and analyze game strategies
  • Industrial Automation: Enhance quality control in manufacturing processes
  • Agricultural Monitoring: Identify crop health and pest infestations
  • Social Media: Categorize and filter content for improved user experience
  • Wildlife Conservation: Monitor and track endangered species
  • Smart Cities: Improve traffic management and public safety

Compare Junior, Middle, Senior, and Expert/Team Lead YOLO Developer roles

Seniority NameYears of experienceResponsibilities & ActivitiesAverage salary (USD/year)
Junior0-2 yearsTasks:

  • Basic coding
  • Bug fixing
  • Documentation
$50,000
Middle2-5 yearsResponsibilities:

  • Feature development
  • Code review
  • Testing
$70,000
Senior5-8 yearsActivities:

  • Architecture design
  • Mentoring
  • Project management
$90,000
Expert/Team Lead8+ yearsTasks:

  • Strategic planning
  • Team management
  • Client interaction
$120,000

Quick Facts about YOLO.

Facts about
  • YOLO, or “You Only Look Once,” was born in 2016.
  • It’s a hit in projects like object detection and tracking.
  • Getting into YOLO land requires some coding chops.
  • YOLO’s bestie is Darknet, a neural network framework.
  • Did you know YOLO can process images at an astonishing speed?

TOP YOLO Related Technologies

Related Technologies
  1. Python (Guido van Rossum, 1991)
  2. C/C++ (Dennis Ritchie, 1972)
  3. OpenCV (Willow Garage, 2000)
  4. TensorFlow (Google Brain Team, 2015)
  5. Darknet (Joseph Redmon, 2013)

What are top YOLO instruments and tools?

Instruments and tools
  • Darknet: Tool for object detection
  • YOLOv4: Released by Alexey Bochkovskiy in 2020
  • OpenCV: Computer vision library

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