Computer Vision Intern at FieldAssist

FieldAssist · Gurugram, Haryana, India

📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company FieldAssist 👥 Experience Fresher 🎓 Qualification Bachelor's Degree (Computer Science, AI, IT, or Related) 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹20,000–35,000/month* 🏢 Industry Technology 🛠 Key Skills Problem Solving Communication Skills Basic Computer Knowledge SQL Python Computer Vision Intern at FieldAssist — Full Details & How to Apply FieldAssist is seeking a Computer Vision Intern in Gurugram, Haryana, India , where you can gain hands-on experience in cutting-edge technology while earning a stipend of ₹20,000–35,000/month* . This role offers a unique chance to dive into the evolving field of computer vision, essential for industries like retail and healthcare. The demand for computer vision technology is skyrocketing, making this Computer Vision Intern role crucial for innovation. As companies increasingly rely on advanced algorithms to enhance user experience and operational efficiency, your contributions will directly impact how businesses leverage technology to stay competitive. FieldAssist , founded in 2013 , has grown to over 200 employees and specializes in field force automation solutions. This scale not only enhances productivity for businesses but also fosters a collaborative culture where interns can thrive. Joining FieldAssist means being part of a team that values innovation and is focused on pushing the boundaries of technology. This position is ideal for 2024, 2025, 2026 graduates with a Bachelor's Degree (Computer Science, AI, IT, or Related) . As a Fresher , you will have the chance to kickstart your career in AI and machine learning, fields projected to grow significantly. With a competitive salary of ₹20,000–35,000/month* , this internship is a valuable stepping stone. In this role, you will work with essential skills such as Problem Solving , Communication Skills , Basic Computer Knowledge , SQL , and Python . This hands-on experience will not only enhance your technical abilities but also open doors to future opportunities in the tech industry, setting you apart from peers who may only have theoretical knowledge. 📊 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 Computer Vision Intern at FieldAssist will focus on developing innovative computer vision algorithms using Python to enhance product features and improve user experience. Develop and implement computer vision algorithms using Python to enhance product features, ensuring alignment with project goals. Utilize SQL for data extraction and analysis, supporting project requirements and decision-making processes. Collaborate with data science and product development teams to integrate computer vision solutions, fostering a cohesive project environment. Analyze performance metrics to evaluate the effectiveness of implemented algorithms, driving continuous improvement. Propose new features based on user feedback and data insights, demonstrating initiative and innovation. Document processes and findings to facilitate knowledge transfer within the team, ensuring clarity and continuity. Assist in troubleshooting and resolving client-facing issues related to computer vision applications, enhancing customer satisfaction. This role empowers you to take ownership of projects, directly impacting the success of FieldAssist and its clients through innovative solutions. Required Skills & Technical Competencies The ideal candidate will possess a blend of technical and soft skills essential for success in the Computer Vision Intern role at FieldAssist . Technical Skills Problem Solving — entry — Critical for addressing complex challenges in computer vision projects, requiring a strong analytical mindset. Communication Skills — entry — Essential for effectively collaborating with cross-functional teams and presenting technical concepts. Basic Computer Knowledge — entry — Foundational for understanding software development and data analysis processes. SQL — entry — Used daily for querying databases to retrieve and manipulate data relevant to computer vision tasks. Python — entry — The primary programming language for developing algorithms and scripts in this role. Soft Skills & Professional Competencies Demonstrate strong analytical thinking to solve complex problems in computer vision. Exhibit effective communication to articulate technical concepts to non-technical stakeholders. Show adaptability in collaborating with diverse teams and adjusting to project needs. Display initiative in proposing innovative solutions based on data insights. Good to Have (Bonus Skills) Familiarity with machine learning frameworks like TensorFlow or PyTorch can enhance contributions to computer vision projects. Experience with image processing libraries such as OpenCV can provide a competitive edge in algorithm development. Knowledge of cloud platforms like AWS or Azure can unlock opportunities for deploying computer vision solutions at scale. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for fresh graduates eager to start their careers in computer vision and related fields. Candidates must hold a Bachelor's Degree in Computer Science , AI , IT , or related fields. Eligible batches include 2024 , 2025 , and 2026 , ensuring students nearing graduation can apply. This position is specifically tailored for freshers , making it an ideal starting point for those without prior work experience. While there are no strict academic performance expectations, a strong academic record can enhance your application. Having a portfolio or GitHub showcasing relevant projects can significantly strengthen your candidacy for this role. Documentation & Portfolio Requirements Submit your resume in PDF format, including your educational background, relevant projects, and any technical skills. Highlight your contributions to team projects or individual achievements. Pro tip: Tailor your application to highlight specific experiences with Python and SQL that align with the responsibilities of this role. Salary for Computer Vision Intern at FieldAssist 💰 Compensation ₹20,000–35,000/month* The advertised compensation for the Computer Vision Intern role at FieldAssist is ₹20,000–35,000/month* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at FieldAssist The selection process for the Computer Vision Intern role is designed to identify candidates who possess both technical skills and cultural fit for FieldAssist . 1 Online Assessment — 60 minutes, testing coding skills and basic algorithms. 2 Technical Interview — focuses on Python, SQL, and computer vision concepts. 3 Behavioral Interview — assesses cultural fit and problem-solving approaches. 4 HR Interview — discusses offer details and company culture, typically within a week. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and dictionaries is crucial for coding tasks — GeeksForGeeks Algorithms — focus on sorting and searching algorithms relevant to computer vision — GeeksForGeeks Basic SQL Queries — practice writing queries to manipulate and retrieve data — W3Schools Python Basics — ensure proficiency in syntax and common libraries — Learn Python Round 2: Technical Interview Computer Vision Fundamentals — study image processing techniques and algorithms — Coursera Python Libraries — gain familiarity with libraries like NumPy and OpenCV — YouTube SQL for Data Analysis — practice advanced querying techniques for data extraction — W3Schools Machine Learning Basics — understand core concepts and algorithms used in computer vision — Coursera Project Experience — be prepared to discuss any relevant projects or coursework — GeeksForGeeks Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences — MindTools Team Collaboration — discuss how you work effectively in team settings — MindTools Technical Deep-Dive — be ready to explain your approach to a specific computer vision problem — GeeksForGeeks Timeline & Expectations The entire selection process typically spans 2-3 weeks from application submission to final offer. Prepare thoroughly for each round, as the company values both technical proficiency and cultural fit. Expected Interview Questions for Computer Vision Intern at FieldAssist These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would implement a basic image recognition algorithm using Python. What are the key differences between supervised and unsupervised learning? How would you optimize a SQL query for better performance? Describe a project where you used Python for data analysis. What libraries would you use for image processing in Python? How do you handle missing data in a dataset? Behavioral Questions Describe a time when you faced a challenge in a project and how you overcame it. How do you prioritize tasks when working on multiple projects? Can you give an example of a successful team collaboration? What motivates you to work in the field of computer vision? Role-Specific Questions What interests you about the role of Computer Vision Intern at FieldAssist? How would you approach a problem where the algorithm is not performing as expected? What do you think are the most important trends in computer vision today? Structure your answers using the STAR method to clearly convey your experiences and thought processes. Resume Tailoring & ATS Keywords for Computer Vision Intern Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Computer Vision Python SQL Data Analysis Machine Learning Image Processing Problem Solving Collaboration Internship FieldAssist Gurugram Fresher Resume Tips for This Role Highlight relevant coursework or projects that demonstrate your technical skills in computer vision. Emphasize teamwork experiences, especially in tech-related projects, to align with the company culture. Include links to your portfolio or GitHub to showcase practical applications of your skills. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experiences that do not showcase your technical abilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include unrelated skills or experiences that do not pertain to the role of Computer Vision Intern. About FieldAssist FieldAssist was founded in 2013 and is headquartered in Gurugram, Haryana . With a focus on revolutionizing field operations, the company has expanded its reach to serve clients in over 10 different sectors . Currently, it employs a dedicated team of professionals committed to driving innovation in technology. The flagship product, FieldAssist , automates field sales and distribution processes, streamlining operations for businesses. This platform has been instrumental in enhancing productivity for clients, enabling them to achieve significant operational efficiencies. The company also offers tailored solutions that cater to specific industry needs. FieldAssist has cultivated a supportive work culture, reflected in its impressive employee satisfaction score of 4.5 on Glassdoor . The company promotes continuous learning through various employee programs, including mentorship initiatives and skill development workshops, fostering an environment where team members can thrive. Recently, FieldAssist secured a significant funding round aimed at expanding its product offerings, particularly in the realm of AI-driven analytics . This initiative will enhance decision-making capabilities for clients, positioning the company at the forefront of technological advancements in field operations. Joining FieldAssist as a fresher provides an excellent foundation in both technology and business. The company’s focus on innovation and growth makes it a strong launchpad for a career in tech, offering ample opportunities for skill development and professional advancement. Why Join FieldAssist as Computer Vision Intern? As a Computer Vision Intern at FieldAssist , you will gain hands-on experience with cutting-edge technologies, enhancing your technical skills and problem-solving abilities in a real-world setting. Practical Experience — Work directly with Python and SQL , gaining essential skills in data manipulation and analysis that are critical for your future career in technology. Real-time Projects — Engage in live computer vision projects that will deepen your understanding of the field and improve your technical knowledge. Career Advancement — After 1-2 years , transition into roles such as Data Scientist or Machine Learning Engineer, leveraging the experience gained at FieldAssist . Collaborative Culture — Benefit from a culture that encourages knowledge sharing, allowing you to learn from seasoned professionals in the tech industry. Vibrant Location — Enjoy living in Gurugram , a hub for technology and innovation, providing numerous networking opportunities and a vibrant lifestyle. According to NexisGrow.com, the Computer Vision Intern role at FieldAssist offers a unique chance to build a strong foundation in technology while working on impactful projects that shape the future of field operations. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Computer Vision Intern at FieldAssist? Eligibility Tap to expand + Answer Candidates with Bachelor's Degree (Computer Science, AI, IT, or Related) 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: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹20,000–35,000/month*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at FieldAssist? 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: Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python. ? 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 Intern interview? Preparation Tap to expand + Answer (1) Core concepts of Problem Solving, Communication Skills, Basic Computer Knowledge, SQL, Python, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) FieldAssist research, (5) Clear communication. ? What is the work culture like at FieldAssist? 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 Gurugram Browse all Tech jobs Latest Fresher jobs More jobs at FieldAssist Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com