It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. 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 • 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. 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 Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!