Job Title: Data Scientist - AI / Computer Vision 

Experience Range: 3-8 Years 
Location: Bengaluru

Role Summary 

We are seeking a Data Scientist with expertise in Computer Vision and AI to design, develop, fine-tune, and deploy machine learning and deep learning solutions. The role involves building scalable AI models, working with large image/video datasets, and collaborating with cross-functional teams to deliver business-focused AI applications. The ideal candidate should have strong experience in computer vision, deep learning frameworks, and MLOps practices. 

Key Responsibilities 

• Design, develop, and optimize AI/ML solutions for computer vision applications. 

• Build and fine-tune deep learning models for image classification, object detection, and image segmentation. 

• Process, clean, annotate, and manage large-scale image and video datasets. 

• Develop data preprocessing and post-processing pipelines. 

• Train, evaluate, and validate machine learning and deep learning models. 

• Monitor model performance using relevant evaluation metrics and conduct error analysis. 

• Perform experimentation, benchmarking, and model comparison activities. 

• Deploy and scale AI models in production environments using cloud and MLOps practices. 

• Collaborate with engineering, product, and business teams to integrate AI solutions. 

• Follow software development best practices including version control, testing, documentation, and reproducibility. 

Required Skills 

• Strong proficiency in Python. 

• Hands-on experience with Computer Vision and Deep Learning. 

• Expertise in PyTorch, TensorFlow, or Keras. 

• Experience with OpenCV and image processing techniques. 

• Strong knowledge of image classification, object detection, image segmentation, transfer learning, and model fine-tuning. 

• Experience with ML model evaluation and performance optimization. 

• Knowledge of Git and software development best practices. 

• Understanding of MLOps concepts and production deployment. 

Good-to-Have Skills 

• Experience with Vision-Language Models (VLMs) and Multimodal AI. 

• Exposure to Large Language Models (LLMs) and NLP concepts. 

• Experience with MLflow, Kubeflow, Docker, and Kubernetes. 

• Cloud platform exposure (AWS, Azure, or GCP). 

• Experience in healthcare, medical imaging, or similar domain-specific AI applications. 

• Research publications or contributions to open-source AI projects. 

• Knowledge of Responsible AI and AI ethics. 

Soft Skills 

• Strong analytical and problem-solving abilities. 

• Effective communication and presentation skills. 

• Cross-functional collaboration and stakeholder management. 

• Research-oriented mindset with attention to detail. 

• Ability to work in a fast-paced, dynamic environment. 

• Strong ownership and accountability.