Showing 1,256 Keras Jobs in Noida

Design and develop high-quality, scalable, and efficient full-stack applications using AI technologies. Collaborate with cross-functional teams to identify and

Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in P

We are looking for a highly motivated and enthusiastic AI Workflow Trainee to join our team in Noida. The ideal candidate will have a strong foundation in Artificial Intelligence and Machine Learning, with excellent problem-solving skills and attention to detail. Roles and Responsibility Collaborate

; ; Develop and implement machine learning models and algorithms for computer vision applications. Conduct research, experimentation, and prototyping to enhance

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excel

GEN AI Data Architect Location: Noida, UP, India Job Description PRIMARY RESPONSIBILITIES Articulate and document a data architecture solution vision Develops c

Adobe seeks a Machine Learning Engineer for its SDC team to develop and deploy scalable generative AI solutions for intelligent content discovery and recommendations across Adobe products. Utilize Python, TensorFlow, and AWS to build large-scale ML systems, impacting millions. Requires 6-9 years of experience

Join as a Python Developer (3-6 Yrs) in Noida/Pune to build AI-driven innovations and optimize existing backend systems. Utilize Python (FastAPI/Flask/Django), microservices, REST APIs, and cloud platforms (AWS/GCP/Azure) to develop scalable, intelligent solutions. Bridge core backend engineering with AI system integration

Design and develop AI models and algorithms to solve complex problems. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest advancements in AI and ma