? Job Details at a Glance ? Location Chennai, Tamil Nadu, India ? Company HCLTech ? Experience Fresher ? Qualification Relevant bachelor’s degree in Computer Science, Engineering or a related discipline ? Eligible Batch 2024, 2025, 2026 ? Job Type Full Time ? Salary ₹5–10 LPA (estimated) ? Industry Technology ? Key Skills Python C++ OpenCV NumPy PyTorch TensorFlow YOLO SSD Faster R-CNN TensorRT Computer Vision Engineer II at HCLTech — Full Details &

How to Apply HCLTech is seeking a Computer Vision Engineer II in Chennai, Tamil Nadu, India , offering freshers a chance to work with advanced technologies like TensorFlow and PyTorch. This role is pivotal in developing production-ready computer vision pipelines that impact real-world applications. The demand for computer vision engineers is surging, particularly in sectors such as healthcare, automotive, and security.

This specific Computer Vision Engineer II role at HCLTech is crucial for driving innovation and enhancing product offerings in AI and machine learning, aligning with the company's growth trajectory in technology solutions. HCLTech , founded in 1976 , employs over 200,000 professionals globally and is recognized for its innovative technology solutions. The company’s commitment to leveraging cutting-edge tools and frameworks makes it an ideal environment for aspiring engineers to thrive and contribute meaningfully.

We encourage 2024, 2025, 2026 graduates with a relevant bachelor’s degree in Computer Science, Engineering or a related discipline to apply. This role is designed for fresher experience candidates, offering a competitive salary of ₹5–10 LPA (estimated)

- In this role, you will gain hands-on experience with industry-leading tools such as YOLO , Faster R-CNN , OpenCV , and NumPy

- This exposure not only enhances your technical skills but also opens doors to advanced career opportunities in AI and machine learning, setting you apart in the job market. ? Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role &

Responsibilities The core mission of the Computer Vision Engineer II at HCLTech is to develop and optimize advanced computer vision solutions that enhance real-time object detection and image processing capabilities. Develop production-ready computer vision pipelines using Python and OpenCV to ensure high-quality outputs for various applications. Implement and fine-tune deep learning models with PyTorch and TensorFlow for real-time object detection, enhancing model accuracy.

Collaborate with data engineering teams to manage and optimize datasets for model training and evaluation, ensuring data integrity. Monitor model performance metrics to ensure accuracy and efficiency in real-world applications, utilizing tools like TensorRT

- Take ownership of automating model training processes using MLflow and DVC to streamline workflows and improve efficiency. Document architecture and deployment processes to facilitate knowledge sharing and future enhancements within the team. Troubleshoot model performance issues and provide solutions to improve accuracy and reliability, leveraging CUDA for optimization.

This role fosters an ownership culture, allowing engineers to directly impact the development of cutting-edge computer vision technologies.

Required Skills &

- Technical Competencies The ideal candidate for the Computer Vision Engineer II position should possess a robust skill profile in programming and machine learning frameworks.

Technical Skills

Python — entry — essential for developing algorithms and models, expected proficiency in writing effective code. C++ — entry — used for performance-critical components, enabling faster execution of computer vision tasks. OpenCV — entry — daily use for image processing tasks, crucial for developing robust computer vision applications.

TensorFlow — entry — familiarity necessary for building and training deep learning models effectively. PyTorch — entry — essential for implementing and fine-tuning deep learning models for real-time applications. Docker — entry — important for containerizing applications, ensuring consistency across development and production environments.

When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency with each tool.

Eligibility Criteria

This role is designed for fresh graduates who are eager to start their careers in computer vision and machine learning. Candidates must hold a relevant bachelor's degree in Computer Science or Engineering , ensuring a solid foundation in programming and algorithms.



Eligible batches include 2024 , 2025 , and 2026 , allowing fresh graduates to apply early in their careers.

This role is open to freshers, with no prior experience required, making it accessible for new graduates. A minimum academic performance of 60% is preferred, ensuring candidates have a solid theoretical background. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process.

Documentation &

- Portfolio Requirements Ensure your resume is well-structured, highlighting your technical skills and relevant projects. Include links to your portfolio or GitHub to showcase your work.

Pro tip: Highlight specific projects that utilized OpenCV or TensorFlow to demonstrate your hands-on experience in computer vision.

Salary for Computer Vision Engineer II at HCLTech ? Compensation ₹5–10 LPA (estimated) The advertised compensation for the Computer Vision Engineer II role at HCLTech is ₹5–10 LPA (estimated)

- The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage.

Recommended

Courses &

- Preparation Tips for Computer Vision Engineer II Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with industry demands.

Recommended

Courses &
- Resources Python — Essential for implementing algorithms in computer vision. C++ — Important for performance-critical applications in computer vision. OpenCV — A key library for image processing and computer vision tasks. NumPy — Crucial for numerical operations and data manipulation in Python. KodNest — Offers practical projects to strengthen your coding skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply.

Common

Mistakes to Avoid ❌ Failing to tailor the resume — Customize your resume to match the . ❌ Neglecting relevant projects — Showcase internships or projects in computer vision. ❌ Using generic language — Use specific technical terms relevant to the role. ❌ Overlooking formatting — Ensure clarity and readability in your resume. ❌ Not preparing for technical interviews — Practice coding problems related to computer vision. ❌ Ignoring the application deadline — Keep track of deadlines to avoid missed opportunities.

Before You

Apply — Checklist ✅ Review the thoroughly to understand the required skills and responsibilities. ✅ Update your resume to reflect relevant coursework, projects, and skills specific to computer vision. ✅ Prepare a cover letter that highlights your interest in technology and your enthusiasm for HCLTech . ✅ Gather any necessary documents, such as transcripts or certifications, to support your application. ✅ Ensure your LinkedIn profile is up-to-date and reflects your skills and experiences. ✅ Practice common technical interview questions related to computer vision and machine learning. ✅ Follow the application link and complete the online application form accurately. ✅ Set reminders for follow-up on your application status after submission.

Resume

Tailoring &
- ATS Keywords for Computer Vision Engineer II Optimizing your resume for ATS is crucial to ensure it passes initial screenings and reaches hiring managers. ATS Keywords to Include Computer Vision Python C++ OpenCV Deep Learning TensorFlow PyTorch YOLO SSD Model Optimization MLOps Docker Resume Tips for This Role Highlight relevant coursework or projects in computer vision and machine learning. Emphasize teamwork and collaboration experiences in technical projects. Include links to your portfolio or GitHub showcasing your skills. Optimize your resume for ATS by using keywords from the . Avoid including unrelated work experience or skills that do not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers.

Pro Tip: Avoid including generic skills or experiences that do not directly relate to the Computer Vision Engineer role.

How to Apply for Computer Vision Engineer II at HCLTech Apply Now — HCLTech Visit the HCLTech careers page and locate the Computer Vision Engineer II job listing. Prepare your resume, ensuring it highlights relevant skills and experiences for the role. Fill out the online application form accurately, providing all requested information.





Submit your application and keep an eye on your email for any updates or interview invitations. Use the application tracking system to monitor the status of your application. Applications reviewed on rolling basis — early submission recommended.

Apply

Now — HCLTech NexisGrow.com does not charge any fees for job applications. HCLTech HCLTech was founded in 1976 and has expanded its operations to over 50 countries , employing more than 200,000 professionals
- The company's headquarters is located in Noida, Uttar Pradesh , and it has established a significant global footprint in the technology services sector. With a diverse portfolio, HCLTech continues to evolve and adapt to the changing demands of the industry.

Specializing in IT services, HCLTech offers a range of solutions including software development , infrastructure management , and engineering services

- The company leverages advanced technologies such as AI , cloud computing , and cybersecurity to deliver innovative products and services. Notable platforms include HCL Software and HCL Cloud , which enhance operational efficiency for clients. The workplace culture at HCLTech has been recognized with high ratings on platforms like Glassdoor , reflecting employee satisfaction and growth opportunities.

The company has received accolades such as the Great Place to Work certification, emphasizing its commitment to fostering a supportive setting. Additionally, HCLTech offers mentorship programs and career development initiatives that empower employees. Recently, HCLTech announced a strategic partnership with NVIDIA to enhance its AI capabilities, showcasing its focus on cutting-edge technology.

This collaboration aims to integrate advanced AI solutions into various sectors, further solidifying HCLTech 's position in the technology landscape. The company is also exploring new markets and expanding its service offerings to meet evolving client needs. For freshers in technology, HCLTech serves as an excellent career launchpad.

The company provides structured career paths, comprehensive training programs, and access to industry-leading technologies. With a strong emphasis on mentorship and professional development, new hires can quickly gain valuable experience and skills, positioning themselves for future success in the tech industry.

Company Details Industry Technology Location

Chennai, Tamil Nadu, India Connect With Us Careers Apply Now Website ? careers.hcltech.com Frequently Asked Questions Interview

- Role

- Salary
- Growth ? Who can apply for Computer Vision Engineer II at HCLTech?

Eligibility

Tap to expand + Answer Candidates with Relevant bachelor’s degree in Computer Science, Engineering or a related discipline and Fresher experience are eligible.

Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role?

Skills Tap to expand + Answer Key skills: Python, C++, OpenCV, NumPy, PyTorch. Strong fundamentals and practical project experience matter most. ? What is the salary for this position?

Salary Tap to expand + Answer Compensation: ₹5–10 LPA (estimated). Final offer depends on skills, experience, and interview performance. ? What is the interview process at HCLTech?

Interview

Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite?

Work Mode

Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role?

Growth

Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply?

Application

Tap to expand + Answer Apply via the official link in How to Apply section.

Highlight: Python, C++, OpenCV, NumPy, PyTorch. ? Is there a probation period?

Probation

Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Computer Vision Engineer II interview?

Preparation

Tap to expand + Answer (1) Core concepts of Python, C++, OpenCV, NumPy, PyTorch, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) HCLTech research, (5) Clear communication. ? What is the work culture like at HCLTech?

Culture

Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. ? Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs Latest Fresher jobs More jobs at HCLTech Work From Home jobs Ready to Apply? Don't Miss This Opportunity!

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