Computer vision & Generative AI Engineer.

Experience: 2 – 4 Years.

Salary Range: ₹10,00,000 – ₹15,00,000 LPA .

Work type: Hybrid.

Location: Bangalore, Karnataka.

Employment Type: Full-time.

Company: Bhatiyani Astute Intelligence Pvt Ltd.

About the Company:

Bhatiyani Astute Intelligence Pvt. Ltd. is a fast-growing technology company focused on delivering AI-driven computer vision solutions for industrial and enterprise applications.

We specialize in warehouse automation, visual quality control, object tracking, inventory management, and edge AI systems — empowering organizations to make data-driven decisions through intelligent vision-based monitoring.

At Bhatiyani Astute Intelligence, innovation meets execution — we encourage curiosity, creativity, and a research-first mindset to solve real-world visual challenges.

We are looking for a passionate Computer Vision Engineer with hands-on experience in Generative AI and Vision-Language Models (VLMs) to build intelligent visual understanding systems. This role requires a blend of strong engineering skills and creative problem solving to develop real-time video analytics solutions, deploy AI models on edge devices, and design multimodal AI systems that combine vision and language reasoning.

You will work on practical industry problems such as surveillance intelligence, warehouse automation, quality inspection, smart monitoring, and AI assistants for video understanding.

●Design and develop real-time computer vision pipelines for video analytics applications.

●Build solutions using Vision-Language Models (VLMs) for:

●Visual question answering

●Image/video captioning

●Multimodal search and reasoning

●Automated insights from CCTV/video streams.

●Develop GenAI-driven features such as anomaly explanation, report generation, and conversational AI over video.

●Deploy and optimize models on edge hardware (NVIDIA Jetson, edge GPUs, on-prem servers).

●Implement low-latency inference using TensorRT, ONNX, OpenVINO or equivalent.

●Work with multi-camera streaming pipelines using

●Optimize models for FPS, memory footprint, and power efficiency.

●Prepare datasets, annotation strategies, evaluation metrics, and model monitoring.

●Collaborate with backend teams to expose AI via APIs, microservices, and dashboards.

●2–4 years of hands-on experience in computer vision & deep learning.

●Strong understanding of:

●Object detection, tracking, segmentation.

●Activity recognition.

●Face recognition / ANPR / counting / anomaly detection.

●Experience building real-time video analytics systems.

●Hands-on exposure to Vision-Language Models (example - CLIP, BLIP, LLaVA, GPT-4V style workflows).

●Experience in:

●Prompt engineering for vision models.

●Multimodal retrieval.

●Fine-tuning using LoRA/PEFT.

●Ability to combine LLM + CV for practical workflows.

●Experience deploying models on edge devices.

●Model optimization: quantization, pruning, TensorRT.

●Familiar with:

●OpenCV, PyTorch/TensorFlow.

●Docker, FastAPI/Flask.

●Multi-camera architecture.

●Strong Python skills; C/C++ is a plus.

●Experience with REST APIs and system integration.

We are not looking for people who only run pre-built notebooks. The candidate must:

●Demonstrate strong creativity and out-of-the-box thinking to solve vision problems where standard approaches fail.

●Be able to design novel pipelines combining VLMs, GenAI, and classical CV.

●Experiment with unconventional prompt strategies and multimodal reasoning.

●Convert ambiguous business requirements into technical solutions without hand-holding.

●Show curiosity to explore latest research papers and adapt them for production.

●Published research papers, technical blogs, or patents in:

●Computer Vision.

●Vision-Language Models.

●Generative AI.

●Edge AI.

●Open-source contributions or Kaggle participation.

●Experience reproducing research papers and converting them into deployable systems.

●Side projects demonstrating original thinking rather than tutorials.

●Multi-camera tracking & re-identification

●Experience with Deep Stream / Triton / MLOps

●Synthetic data generation

●3D vision / point clouds

●Domain experience in surveillance, warehouse, manufacturing, smart city.

● AI systems that understand video + language together.

● Edge analytics running at 20–60 FPS.

● Gen AI assistants for CCTV and industrial automation.

● Scalable pipelines handling dozens of cameras.

● Work at the intersection of Computer Vision + GenAI + Edge AI.

● High ownership and freedom to experiment.

● Flexible work culture.

● Opportunity to build real products, not POCs.

●  B.Tech / M.Tech in CS, AI, ECE or related field (or equivalent practical experience)

●  ₹10,00,000 – ₹15,00,000 per annum (Hybrid Role)

● Performance bonuses based on project delivery.

● Laptop & internet allowance.

●  Medical and accidental insurance.

● Joining bonuses.

● Complete handling of projects and face to face meetings with the client.

Apply your resume with:

Please include:

● GitHub / portfolio. (we will check)

● Projects on VLM, real-time CV, or edge deployment.

● Any research papers / blogs if available.