Job
Description
Senior Data Science Engineer - Computer Vision Experience: 6 - 7 Years Exp Salary : INR 25-35 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 09:00AM to 6:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Computer Vision, Deep Learning, Large scale Visual Datasets, MLFlow or DVC, Prometheus Or Grafana Or Sentry, Pytorch, Cloud Server (Google / AWS), Python Good to have skills : CV/AI Research, Healthcare, or surveillance/IoT-based CV applications., Publications in CVPR/NeurIPS/ICCU, Stakeholder Communication, TensorRT, Work in domains such as retail analytics Radius AI (One of Uplers' Clients) is Looking for: Senior Data Science Engineer - Computer Vision who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Senior Data Science Engineer Computer Vision Job Summary We are seeking a highly skilled and forward-thinking Senior Data Science Engineer to lead the development of advanced computer vision models and systems. You will play a pivotal role in designing, training, and deploying deep learning models, with a strong focus on real-time inference and edge deployment. The ideal candidate will bring hands-on experience with state-of-the-art architectures and have a deep understanding of the complete ML lifecycle from data acquisition to deployment at scale. Key Responsibilities Lead the development and implementation of computer vision models for tasks such as object detection, tracking, image retrieval, and scene understanding. Design and execute end-to-end pipelines for data preparation, model training, evaluation, and deployment. ¢ Perform fine-tuning and transfer learning on large-scale vision-language models to meet application-specific needs. ¢ Optimize deep learning models for edge inference (NVIDIA Jetson, TensorRT, OpenVINO) and real-time performance. ¢ Develop scalable and maintainable ML pipelines using tools such as MLflow, DVC, and Kubeflow. ¢ Automate experimentation and deployment processes using CI/CD workflows. ¢ Collaborate cross-functionally with MLOps, backend, and product teams to align technical efforts with business needs. ¢ Monitor, debug, and enhance model performance in production environments. ¢ Stay up-to-date with the latest trends in CV/AI research and rapidly prototype new ideas for real-world use. Required Qualifications ¢ 67+ years of hands-on experience in data science and machine learning, with at least 4 years focused on computer vision. ¢ Strong experience with deep learning frameworks: PyTorch (preferred), TensorFlow, Hugging Face Transformers. ¢ In-depth understanding and practical experience with Class-incremental learning and lifelong learning systems ¢ Proficient in Python, including data processing libraries like NumPy, Pandas, and OpenCV. ¢ Strong command of version control and reproducibility tools (e.g., MLflow, DVC, Weights & Biases). ¢ Experience with training and optimizing models for GPU inference and edge deployment (Jetson, Coral, etc.). ¢ Familiarity with ONNX, TensorRT, and model quantization/conversion techniques. ¢ Demonstrated ability to analyze and work with large-scale visual datasets in real-time or near-real-time systems. Preferred Qualifications ¢ Experience working in fast-paced startup environments with ownership of production AI systems. ¢ Exposure to cloud platforms such as AWS (SageMaker, Lambda), GCP, or Azure for ML workflows. ¢ Experience with video analytics, real-time inference, and event-based vision systems. ¢ Familiarity with monitoring tools for ML systems (e.g., Prometheus, Grafana, Sentry). Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: RadiusAI is a pioneering computer vision analytics company revolutionizing retail operations with advanced, human-centric AI solutions. We offer the world's most advanced VisionAI checkout and we provide real-time data to improve operational efficiency across the entire retail industry, focusing on enterprise-level customers and secure edge integration About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
