26 to 33 of 33 Remote Keras Jobs

actionable intelligence insights. Our team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally More ❯

Responsibilities Design and develop AI and machine learning models using Python, TensorFlow, and Keras Collaborate with cross-functional teams to integrate AI models with existing systems Develop and implement natural language processing (NLP) and computer vision models Optimize AI models for performance, scalability, and reliability Stay up-to-date with emerging AI trends and technologies Skills Needed 3+ years of … experience in AI and machine learning development Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform) Excellent problem-solving and communication skills Qualifications Master's degree in Computer Science, Artificial Intelligence, or related More ❯

scientists and ML Engineers Hands-on ML development Qualifications Master's degree or PhD in computer science, statistics, math, physics, or similar through experience Experience with Python (TensorFlow/Keras/sklearn/PyTorch/) Previous experience in delivering ML projects High standards, disciplined, good communicator and team player Wanting to take ownership What we offer Work in an ambitious More ❯

for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphs—from common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for training—with particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. Ownership of More ❯

for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphs-from common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for training-with particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. Ownership of More ❯

with state-of-the-art performance toolkits, software stacks and profiling tools (Cuda/CuDNN/TensorRT, Jit + Jax) Proficient knowledge of Python, C/C++, PyTorch, TensorFlow, Keras Fundamental knowledge of ARM/x86 assembly Fundamental knowledge about parameter efficient fine-tuning techniques (e.g., LoRA, PEFT) Good written and verbal English communication skills Responsibilities: As a (Senior) AI … the field of AI/ML Ensure that every bit of available performance is used for the best possible user experience Technologies: AI ARM Android Cloud CUDA Embedded Hardware Keras Linux Machine Learning Mobile PyTorch Python TensorFlow C++ More: Cinemo is a global provider of highly innovative infotainment products that make every screen an opportunity. Its range of award-winning More ❯

ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking More ❯

ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging and tracking More ❯