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It's fun to work in a company where people truly BELIEVE in what they are doing! Job Description 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 - Robust proficiency in Python. - Hands-on experience with Computer Vision and Deep Learning. - Expertise in PyTorch, Tensor Flow, 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. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit Let us know you're interested in a future opportunity by clicking in the top-right corner of the page or create an account to set up email alerts as current job postings become available that meet your interest! .