Job Title Associate Machine Learning Scientist Computer Vision Specialization Experience 1-3 years Position Summary We are seeking an enthusiastic Associate Machine Learning ML Scientist with a specialization in computer vision applications to join our AI development team The ideal candidate will have experience designing developing and deploying computer vision solutions to tackle real-world problems This role involves working on high-impact AI applications and collaborating closely with data scientists engineers and domain experts to deliver reliable scalable AI solutions Key Responsibilities Develop robust scalable machine learning models addressing complex computer vision challenges Assist in the design and implementation of image and video analysis models including object detection face recognition and image classification Translate real-world challenges into well-defined AI ML problem statements Build and evaluate AI solutions through rigorous experimentation and performance benchmarking Optimize and deploy computer vision models on various platforms including edge and mobile devices Curate preprocess and manage image and video datasets for model development and validation Define and apply appropriate evaluation metrics for computer vision tasks including accuracy precision recall F1-score and real-time inference benchmarks Collaborate with cross-functional teams including software engineers product managers and domain specialists to deliver end-to-end AI solutions Stay current with emerging research and best practices in computer vision deep learning and related fields Requirements Educational Background Bachelor s Master s or equivalent degree in Computer Science Electrical Engineering Applied Mathematics Statistics Physics or a related quantitative discipline Experience 3-6 years of professional experience in developing and deploying machine learning solutions with a strong focus on computer vision applications Technical Skills Proficiency in Python and ML libraries such as Tensor Flow PyTorch OpenCV and scikit-learn Solid understanding of deep learning architectures for image and video processing e g CNNs Res Net Mobile Net Efficient Net Familiarity with cloud platforms AWS Azure GCP and containerization tools Docker is preferred Strong communication skills with the ability to translate technical concepts into actionable insights for cross-functional teams Passion for applied machine learning and a willingness to adapt to diverse problem domains and real-world constraints Preferred Qualifications Prior experience deploying computer vision models on mobile or edge devices Experience working with face detection and recognition models Familiarity with MLOps practices for model deployment monitoring and lifecycle management Demonstrated ability to work independently and collaboratively in quick-paced solution-driven environments Exposure to ethical and responsible AI practices in computer vision applications