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YOLO
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YOLO
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Data Analysis 4yr.
AWS ML (Amazon Machine learning services) 4yr.
Neural Networks
Data Mining
Business Analysis
Python
Flask
Keras
NLTK
NumPy
Pandas
Plotly
PyTorch
Scikit-learn
SciPy
TensorFlow
Data visualization
Keras
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
Xgboost
Docker
FastApi
Git
Microsoft Visio
RabbitMQ
AI
Computer Vision
Computer Vision (CV)
Custom API
Deep Learning (DL)
DVC
Huggingface
NLP
tf-serving
Time Series
YOLO
...

- 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.

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Seniority Middle (3-5 years)
Location Ternopil, Ukraine
Python
Computer Vision (CV)
Pandas
ML
AI
Keras
Matplotlib
NLTK
NumPy
Plotly
poetry
PyTorch
Scikit-learn
SciPy
Streamlit
TensorFlow
Google BigQuery
MySQL
Deep Learning
Keras
Kubeflow
Mlflow
NumPy
OpenCV
PyTorch
Scikit-learn
Spacy
TensorFlow
AWS RT
GCP Storage
Google BigQuery
CI/CD
Jenkins
Docker
Git
Payment Gateways
Regexp
Sublime Text
argparse
Custom API
Deep Learning (DL)
DVC
Hugging Face
Kubeflow for ML pipelines
Label Studio
MMCV
NLP
ONNX
Recommender Systems
tf-serving
Voxel51
YOLO
...

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.

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Seniority Middle (3-5 years)
Location Ternopil, Ukraine

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Manager
Maria Lapko
Global Partnership Manager
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Trusted by Businesses
Accenture
SpiralScout
Valtech
Unisoft
Diceus
Ciklum
Infopulse
Adidas
Proxet
Accenture
SpiralScout
Valtech
Unisoft
Diceus
Ciklum
Infopulse
Adidas
Proxet

Want to hire YOLO developer? Then you should know!

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How and where is YOLO used?

  • 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.

  • 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

  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?

  • Darknet: Tool for object detection
  • YOLOv4: Released by Alexey Bochkovskiy in 2020
  • OpenCV: Computer vision library
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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

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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.