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Recently Added Computer Vision Engineers in our Network

Gelli Tarun

Gelli TarunProfile Badge IC

Data Scientist4.3 Years of Exp

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.

Nitish Chhabra

Nitish ChhabraProfile Badge IC

Machine Learning Engineer10 Years of Exp
  • Python
  • machine_learning
  • Data Mining
  • data-science
  • GCP
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Full stack Data Science Lead with 8 years of experience in MLOps, Computer Vision & NLP. Expert at solving business problems with Machine Learning & deploying to production. Proficient at managing data from Transactions, Text, Images, Videos & IoT devices and automating the creation, execution & monitoring of modern ML architectures. Experienced in working with various machine learning/deep learning models, hyper-parameter management tools, data/workflow management tools & data visualization frameworks. Have built AI products for banks, optimized marketing spends, recommended products, built time series predictions as well as managed teams. Also worked on personal projects related to mask detection, object detection on Edge Devices with Nvidia Jetson Nano using TensorRT, hosting web frontends using Docker with Django/WordPress & FastAPI, face landmark detection, and voice-controlling computers.

Bhavarth Bhangdia

Bhavarth BhangdiaProfile Badge IC

Machine Learning Engineer2 Years of Exp
  • C++
  • SQL
  • Python
  • AWS
  • PyTorch
  • Ray Serve
  • TensorFlow
  • Airflow
  • ARIMA
  • View all (12)

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.

Udaya Sai Chikka

Udaya Sai ChikkaProfile Badge IC

AI Engineer6.6 Years of Exp
  • machine_learning
  • Python
  • data-science
  • NLP
  • API development
  • View all (8)

Highly skilled AI Engineer with a proven track record of developing and deploying over 50 Conversational AI applications across diverse sectors. Recognized for driving revenue growth, optimizing operations, and leading high-performing teams to deliver innovative AI solutions. Proficient in Python, JavaScript, GPT-3, ChatGPT, and various frameworks. Adept at integrating AI solutions with business goals and mentoring junior members for enhanced performance.

Prasun Sinha

Prasun SinhaProfile Badge IC

Data Scientist7 Years of Exp

Seeking a challenging role as a Technical Lead in AI & ML, to leverage extensive experience and expertise of 7+ years to drive innovative projects, lead cross-functional teams, and contribute to the development of cutting-edge solutions in artificial intelligence and machine learning. The goal is to lead impactful initiatives, foster collaboration, and deliver high-quality AI and ML solutions that drive business growth and technological advancement.

Durga Sai Eswar

Durga Sai EswarProfile Badge IC

Back End Developer5 Years of Exp
  • Python
  • Azure
  • Git
  • Kubernetes
  • Docker
  • Datastructures
  • Flask
  • CI/CD
  • View all (11)

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

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Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.

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Uplers helped to source and bring out the top talent in India, any kind of high-level role requirement in terms of skills is always sourced based on the job description we share. The profiles of highly vetted experts were received within a couple of days. It has been credible in terms of scaling our team out of India.

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Uplers efficient, quick process and targeted approach helped us find the right talents quickly. The professionals they provided were not only skilled but also a great fit for our team.

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Uplers' talents consistently deliver high-quality work along with unmatched reliability, work ethic, and dedication to the job.

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Case Studies of Tech Companies

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Hire Computer Vision Engineers 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.

Frequently Asked Questions

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.

You can get the top 1% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable Computer Vision Engineers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks depending on your requirements and decision-making time.

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

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

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

The average cost of hiring a Computer Vision Engineer from Uplers starts at $2500. The number varies depending on the experience level of the Engineer as well as your requirements.

View Our Pricing For 2025 - 26

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.

Yes, Computer Vision Engineers 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 Engineers essential for innovation.

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.

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

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. Startup companies can interview and onboard engineers within two weeks, accelerating their growth without hiring bottlenecks.

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

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 Startup companies hire trustworthy, high-integrity professionals.

Absolutely. We offer flexible hiring models that enable you to onboard experienced Computer Vision Engineers from India who are aligned with your preferred working hours, whether in IST, CST, GMT, or any other time zone. Engineers have successfully collaborated with global teams in the USA, UK, EU, Australia, and beyond, delivering high-quality results that meet international standards. It's a simple, efficient, and proven way to scale your development without compromising on quality.