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Recently Added Computer Vision Developers in our Network

Abhishek

Machine Learning EngineerExp. 4.8 Years
  • Python Programming
  • Machine Learning
  • Data Science
  • ML Engineer with Python
  • Statistics
  • Time Series

Machine Learning Engineer with years of experience creating Machine Learning/Deep Learning models and retraining systems and transforming data science prototypes to production-grade solutions in different type of Domains like BSFI, Telecommunication, Astrology, Music etc. Consistently optimizes and improves real-time systems by evaluating strategies and testing changes. Consistently employs statistical methods and designs to yield real gains from model changes.

Bhavarth Bhangdia

ML Engineer | Data Scientist | Backend DeveloperExp. 2 Years
  • FullStack
  • HTML / CSS
  • Node Js
  • React Js
  • Express Js
  • MySQL
  • Data Structures
  • OOPS Concept
  • C++

As a Data Science Intern at Alphaa AI, where I create impactful solutions using Python, Kaggle notebooks, and mathematical and statistical principles. I have proficiency in creating diverse datasets, architecting robust pipelines, and optimizing ETL processes for enhanced efficiency and data handling. I also convey complex ideas through compelling data stories, demonstrating my communication and visualization skills.I am pursuing my Bachelor of Technology in Electronics and Communication Engineering from the Indian Institute of Information Technology Allahabad, with coursework in Data Structures, Operating Systems, Distributed Systems, and Machine Learning. I have skills in front-end and back-end development, using languages such as C++, JavaScript, and SQL, and frameworks like ReactJS, NodeJS, and MongoDB. I have spearheaded the development and launch of dynamic websites and applications, such as Filmpire CineVerse and Media Mimic, that enhance user engagement and streamline content discovery processes. I have solved over 500+ challenging problems on platforms like LeetCode, InterviewBit, and Code Studio, reflecting my dedication to honing problem-solving skills.I am driven by a quest for excellence, constantly seeking to stay updated with the latest industry trends and best practices. I am eager to bring my technical expertise, passion for innovation, and collaborative spirit to a forward-thinking team.

Durga Sai Eswar

Python DeveloperExp. 5 Years
  • Python
  • Azure
  • Git
  • Kubernetes
  • Docker
  • Data Structures
  • flask
  • CI/CD
  • Algorithms
  • AWS
  • Restful APIs

Python developer with 4.5+ years of experience in backend development on REST APIs, skilled in developing and optimizing backend applications.

Gelli Tarun

AI ML EngineerExp. 4 Years
  • FullStack
  • Artificial Intelligence
  • Data Analysis
  • Python
  • R
  • NLP
  • TensorFlow
  • Keras
  • Deep Learning

A skilled machine learning engineer passionate about solving real-world problems. Wish to explore this cutting-edge technology to help organizations develop new and integrate products Collaborated with multivariate teams of product development to insert trained models and gauge performance improvement. Planned, researched, and developed SOTA deep learning models to evaluate and perform semantic segmentation, object detection, and classifications. Developed data analysis and data preparation pipeline.

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Various Skills that Computer Vision Developers Possess

Access the talent network of 1.5M+ skilled professionals with 100+ skill sets

  • Python
  • C++
  • Java
  • OpenCV
  • NumPy
  • SciPy
  • ML/DL Frameworks
  • TensorFlow
  • PyTorch
  • Keras
  • CNNs
  • RNNs
  • GANs
  • Image segmentation
  • Object detection
  • Feature extraction
  • Tracking
  • SimpleCV
  • Dlib
  • Scikit-image
  • 3D reconstrauctions
  • Stereo vision
  • SLAM
  • Data Annotation
  • Data Augmentation
  • TensorRT
  • ONNX
  • AWS
  • Google Cloud
  • Microsoft Azure
  • GPU
  • CUDA
  • Git
  • Docker
  • CI/CD

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Case Study

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Hire Computer Vision Developers to Automate Visual Data Processing

As businesses expand their digital transformation efforts the requirement to leverage advanced technologies like artificial intelligence (AI) and machine learning (ML) is becoming essential. One most impactful application of AI is computer vision enabling machines to interpret and make decisions based on visual data in real time.

If as a SaaS business you are aiming to automate your visual data processing and unlock the full potential of computer vision, to hire skilled computer vision developers is your best shot. Let’s understand this better in this blog.

  1. Why Hire Computer Vision Developers?

    To hire computer vision engineers is the key to integrating advanced technology into your business. These developers are experts in developing applications that help analyze and interpret visual data offering actionable insights. With the rising reliance on image and video across distinct industry verticals, computer vision has emerged as a game-changer. This is especially true if you are considering automating tasks, improving operational efficiency, and enhancing user experience.

    • Enhancing automation

      Computer vision developers help in designing systems that automate manual image analysis tasks. For example, if you are in the manufacturing industry, computer vision helps to identify defects in products in real time, eliminating the need for human inspection and increasing productivity.

    • Improving accuracy

      With AI algorithms in place computer vision can process visual data much faster and more accurately than humans. Whether in healthcare, automotive, or retail, the ability to process and interpret large volumes of visual data fosters decision-making and outcomes.

    • Supporting complex data analysis

      SaaS companies and tech organizations heavily rely on computer vision to extract valuable insights from vast amounts of visual data. Developers specialized in this field can build systems that analyze facial recognition data, object tracking, and image classification easily.

  2. Key Skills to Look for When You Hire Computer Vision Developers

    When considering hiring artificial intelligence developers skilled in computer vision, you should look for several key skills. These skills serve as the foundation for building high-performance computer vision systems that handle real-world challenges.

    • Experience with machine learning and AI

      Since computer vision heavily relies on machine learning (ML) and artificial intelligence (AI) algorithms, it’s essential that developers exhibit a strong understanding of these technologies. A candidate that has knowledge of the deep learning frameworks, such as TensorFlow or PyTorch, can develop complex models for image recognition, segmentation, and tracking.

    • Proficiency in image processing libraries

      Computer vision development often involves working alongside libraries such as OpenCV, Pillow, or scikit-image. Computer vision developers who are skilled in these tools will be able to handle various image processing tasks, from basic image transformations to advanced feature extraction.

    • Knowledge of data structures and algorithms

      Computer vision algorithms demand the use of efficient data structures for image and video processing at scale. Developers should thus be familiar with algorithms related to image recognition, pattern detection, and object tracking. They must also be familiar with optimization techniques for improved performance.

    • Familiarity with cloud computing

      With the rising adoption of cloud computing, computer vision applications often need to be deployed at scale. Developers familiar with cloud platforms such as Azure, Google Cloud, or AWS will be able to integrate cloud-based machine learning models and enable real-time image analysis.

    • Experienced in SaaS integration

      SaaS companies often have to rely on cloud-based solutions that leverage computer vision for data processing. Developers who are experienced in integrating computer vision systems into SaaS platforms can streamline workflows and render high-quality services to your clients.

    Hire computer vision developers to automate the visual data processing workflows and enhance your business operations. Irrespective of your niche, the ability to leverage ML and AI-powered visual analysis can be a significant competitive advantage. Don’t miss out on the opportunities that computer vision technology can offer - hire computer vision engineers today and transform your business with innovative solutions.

FAQs

Why should you choose Uplers for hiring Computer Vision Developers?

Uplers provide AI-vetted talent, ensuring a seamless hiring experience. Our efficient process ensures profile shortlisting within 48 hours, allowing you to swiftly onboard qualified professionals within just 2 weeks. Additionally, we prioritize client satisfaction with our flexible terms, including a 30-day cancellation policy and a lifetime free replacement.

How quickly can I hire a Computer Vision developer through Uplers?

You can get the top 3.5% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable Computer Vision Developers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks depending on your requirements and decision-making time.

What are the modes of communication through which we can get in touch with a hired Computer Vision Developer?

The modes of communication through which you can get in touch with a hired Computer Vision Developer include:

  • Email
  • Skype
  • Phone
  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams

What if I am not okay with the Hired Computer Vision Developers and would like to change the resources or end the engagement?

Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.

What is the average cost of hiring experienced remote Computer Vision Developers?

The average cost of hiring a Computer Vision Developer from Uplers starts at $1500. The number varies depending on the experience level of the developer as well as your requirements.

Can I expect absolute English proficiency for the Computer Vision Developer hired through Uplers?

At Uplers, our screening process ensures a thorough evaluation of candidates' language proficiency, facilitated by our AI-vetting technology. Beyond linguistic skills, we prioritize cultural fitness to ensure seamless integration within your team, fostering a harmonious work environment and seamless collaboration.

Are Computer Vision Developers still in demand?

Yes, Computer Vision Developers are still in high demand, driven by advancements in AI, deep learning, and automation. Industries like healthcare, automotive (self-driving cars), retail, robotics, and security rely on computer vision for image recognition, object detection, facial recognition, and augmented reality (AR), making skilled developers essential for innovation.

What are the latest trends in Computer Vision Developers?

The latest trends in Computer Vision Development include AI-driven image processing, edge computing for real-time analysis, self-supervised learning, and synthetic data generation. Applications like autonomous vehicles, smart surveillance, augmented reality (AR), and medical imaging are evolving rapidly, increasing demand for deep learning, neural networks, and real-time vision analytics expertise.

How does Uplers cater to SaaS companies needing multilingual developers?

Uplers offers multilingual developers and engineers with strong English proficiency, validated through AI-powered language and communication tests. This ensures smooth collaboration for global SaaS teams operating across multiple geographies.

How does Uplers streamline hiring for SaaS companies scaling quickly?

Uplers reduces time-to-hire by leveraging an AI-powered assessment tool that pre-screens candidates based on technical expertise, cultural fit, and soft skills. SaaS companies can interview and onboard engineers within two weeks, accelerating their growth without hiring bottlenecks.

Can Uplers help SaaS startups hire cost-effective engineering teams?

Yes, Uplers offers flexible hiring models—contract-based, full-time, or direct placement—allowing SaaS startups to optimize hiring budgets. Our transparent pricing model ensures fair pay for talent while saving up to 40–50% on recruitment costs.

How does Uplers handle candidate background verification for SaaS companies?

Uplers conducts third-party background verification for all long-term hires. This includes:

  • Educational and employment verification
  • Reference checks from previous employers
  • Criminal background screening (if required)

This ensures SaaS companies hire trustworthy, high-integrity professionals.