Job
Description
Role & responsibilities Primary Role s Responsibilities: The primary role of the candidate will be: • Apply machine learning and computer vision techniques for object classification, detection, recognition, and segmentation. • Design, develop, train, validate, and deploy neural networks and machine learning models for computer vision applications. • Utilize tools such as Python, R, Flask, NumPy, Pandas, NLTK, SciPy, TensorFlow, Keras, PyTorch, and OpenCV for model development. • Build and fine-tune deep learning, machine learning, and reinforcement learning models for various tasks. • Develop models on image, video, and audio data for classification, detection, recognition, and segmentation using transformers and algorithms. • Evaluate model performance using metrics such as accuracy, precision, recall, F1-score, and AUC, addressing overfitting/underfitting issues. • Build APIs for AI-ML models, implement MLOps, and automate processes. • Stay updated with new AI/ML technologies and innovations. • Utilize software development and agile methodologies. • Develop Python solutions in a Linux environment. • Work with databases such as MySQL/PostgreSQL and cloud-native databases. • Implement data warehouse solutions on cloud platforms. Working Experience and Qualification: Education: Masters degree in computer science/Information Technology with demonstrated experience in AI-ML. Experience: 5-9 years of work experience in AI-ML. Proven experience in object detection and video analytics, preferably using YOLO or similar frameworks. Experience in deploying models using ML frameworks like YOLO, TensorFlow, and PyTorch. \ Skills: Expertise in Python, R programming, and AI-ML tools. Hands-on experience with platforms like OpenAI and Azure. Knowledge of microservices deployment using Linux/Kubernetes (Azure Kubernetes Service). Experience with NLP/Transformers-based models for data analytics and optimization
