Computer Vision Engineer

Job Summary

We are seeking a talented AI/ML & Computer Vision Engineer to develop, deploy, and optimize machine learning and computer vision solutions for real-world business challenges. The ideal candidate will have strong expertise in deep learning, computer vision, data science, and model deployment, with hands-on experience in building scalable AI applications.

Key Responsibilities

• Design, develop, and deploy AI/ML and Computer Vision solutions.
• Build and optimize models for image classification, object detection, OCR, image segmentation, and video analytics.
• Develop machine learning pipelines for data preprocessing, training, validation, and deployment.
• Work with structured and unstructured datasets to extract actionable insights.
• Fine-tune deep learning models for accuracy, performance, and scalability.
• Deploy AI models using cloud and MLOps frameworks.
• Collaborate with product, engineering, and business teams to define AI solutions.
• Monitor model performance and implement continuous improvement strategies.
• Evaluate and implement the latest advancements in AI, Computer Vision, and Generative AI.

Required Skills

AI/ML

• Python Programming
• Machine Learning Algorithms
• Deep Learning
• NLP Fundamentals
• Data Analysis & Feature Engineering
• Model Training and Evaluation
• Scikit-learn, TensorFlow, PyTorch

Computer Vision

• OpenCV
• Object Detection (YOLO, Faster R-CNN, SSD)
• Image Classification
• Image Segmentation
• OCR & Document Intelligence
• Face Recognition
• Video Analytics
• Image Processing Techniques

Generative AI

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• LangChain / LlamaIndex
• Vector Databases (FAISS, Pinecone, ChromaDB)
• Agentic AI Concepts

Cloud & MLOps

• Azure AI / Azure Machine Learning
• AWS SageMaker or GCP Vertex AI
• Docker & Kubernetes
• CI/CD Pipelines
• MLflow
• Model Monitoring & Deployment

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field.
• 3+ years of experience in AI/ML or Computer Vision development.
• Experience developing production-grade AI systems.
• Strong understanding of mathematical concepts including Linear Algebra, Probability, and Statistics.
• Experience in deploying scalable AI applications.

Good to Have

• Vision Language Models (VLMs)
• Multimodal AI
• ONNX Runtime
• TensorRT
• Edge AI Deployment
• NVIDIA CUDA
• Azure AI Vision Services
• Knowledge Graphs
• Reinforcement Learning

Experience

5-11 Years

Location

Bangalore / Hybrid