Back to Browse Jobs
V-OptimAIse
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Visakhapatnam · On-site · ₹4 LPA · 2-5 Yrs · 2 days ago
1 views
1 open role1 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
? Hiring: AI Engineer – Computer Vision | 2-3 Years Exp | On-site: Andhra Pradesh, India ??
Responsibilities
- Build and deploy specialized vision pipelines for industrial PPE compliance and human safety monitoring on the factory floor.
- Optimize models for very low latency and maximum FPS, executing edge deployments in high-temperature, harsh industrial settings.
- Manage end-to-end dataset pipelines, including curation and labeling workflows using tools like CVAT.
- Integrate computer vision inference pipelines with back-end application services and monitoring dashboards.
- Collaborate closely with data scientists, software engineers, and domain specialists to validate and iterate on model accuracy in real-world conditions.
Qualifications
- 2 to 3 years of full-time, hands-on experience in Computer Vision and Deep Learning.
- Deep proficiency in Python and C/C++ for performance-critical vision applications.
- Extensive experience with model architectures, specifically Vision Transformers (ViT), Vision-Language Models (VLM), and advanced detection/segmentation models (e.g., YOLO variants, Mask R-CNN).
- Practical experience taking models beyond notebooks: quantization, pruning, and deploying to production environments (e.g., TensorRT, ONNX Runtime).
- A strong understanding of GPU architecture (e.g., CUDA, memory management, parallel processing) to extract maximum performance and optimize inference speeds.
- Hands-on experience developing vision systems for industrial PPE and human safety monitoring.
- Robust grounding in computer vision fundamentals, image preprocessing, and managing annotation workflows via CVAT.
- Desirable & Bonus Points
- B.E. in Computer Science, Artificial Intelligence, or a related discipline.
- Familiarity with streaming protocols (RTSP, WebRTC) and multi-camera pipeline orchestration.
- Compensation & Terms
- CTC: ₹4 LPA (Including Bonus)
- Training: 3-month training period
- Probation: 6-month probation period
- ? Location: On-site – Andhra Pradesh, India
- ? Employment Type: Full-Time
- ? Apply: Send your resume and portfolio/GitHub to puneeth.dadennagari@v-optimai.com
- #Hiring #AIEngineer #ComputerVision #DeepLearning #VisionTransformers #VLM #PyTorch #TensorRT #EdgeAI #IndustrialAI #PPEMonitoring #AndhraPradeshJobs #VOptimAIse
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 27 October 2026
- How do I apply for AI Engineer – Computer Vision (Visakhapatnam) at V-OptimAIse?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. V-OptimAIse may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Engineer – Computer Vision (Visakhapatnam) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engineer – Computer Vision (Visakhapatnam) remote or on-site in Visakhapatnam, Andhra Pradesh?
- This listing is marked on_site with location Visakhapatnam, Andhra Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Engineer – Computer Vision (Visakhapatnam) role at V-OptimAIse?
- This is a mid-level AI Engineer – Computer Vision (Visakhapatnam) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.