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Deep knowledge and understanding of Deep Learning architectures. * Ability to implement latest research ML papers. * Strong programming skills, with a preference for Python. * Excellent experience ...

Work on a mix of classical ML, simulation optimisation and deep learning * Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological ...

... deep learning - Collaborate with cross-functional teams to integrate AI/ML capabilities into products - Ensure compliance with ethical AI standards and best practices Technical Skills Required ...

Expertise in AI, Machine Learning and Deep Learning * Experience developing systems for manipulating image/video and multi-modality content. * Experience in collecting, cleaning and creating datasets ...

Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) * Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas ...

PhD focusing on Deep Learning, Neural Networks, Machine Learning or AI

Experience with modern deep learning frameworks (e.g., PyTorch) * Experience in creating and managing multi-instance clusters for data and model parallel training across GPUs * Familiarity with cloud ...

: We seek a passionate and skilled Deep Learning Researcher to join the prominent prop-trading house with offices in London and Amsterdam. Researcher will contribute to groundbreaking research in the ...

This role combines leadership and technical expertise, and the ideal candidate is someone with deep experience in artificial intelligence, machine learning, and search technologies. You'll work ...

Apply novel deep learning methods to enhance metagenomic analyses, utilizing machine learning approaches to improve data interpretation and predictive insights (preferred but not required

Deep Learning Expertise : Hands-on experience with deep learning frameworks and neural network architectures designed for perception tasks. * Technical Knowledge : Proficiency in 2D/3D object ...

Hands-on experience with machine learning and deep learning techniques in the fields of NLP and search. * Experience with AWS services (S3, Sagemaker, ML language services, etc.). * Knowledge of user ...

Create easy-to-follow training on machine learning and generative AI (e.g., deep learning, transformers, GANs), with modules and assessments for various skill levels. * Conduct virtual and in-person ...

We are a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're ...

Proficiency with Python programming is essential, alongside expertise in applications of machine learning (ML), deep learning (DL), or natural language processing (NLP) - we use all the latest ...

Familiarity with Bash for scripting and automation is also valuable. • Deep Learning Frameworks : Extensive experience with PyTorch, including Hugging Face's key libraries (e.g., Transformers ...

Should have worked with deep learning libraries (Transformers based models, LSTM, biLSTM, CNN, etc) * Experience with other Machine Learning algorithms and tools (scikit-learn libraries, Pandas ...

... deep learning, natural language processing, computer vision, and statistical analysis. • Experience with data wrangling, data modeling, data visualization, and data mining. • Strong business ...

Strong knowledge of AI, machine learning algorithms, and deep learning frameworks. * Understanding of Edge, Data Center, and cloud architectures, especially in relation to Data and AI use cases

Developing hybrid solutions that combine classical time series methods with deep learning approaches * Collaborating with product and engineering teams to deploy strong forecasting solutions at scale

... and deep learning frameworks. • Edge, Datacenter, and cloud architectural knowledge and use cases relating to Data and AI • Experience in developing and deploying AI models in production ...

Experienced with deep learning platforms like PyTorch, and able to quickly learn new technologies.

Strong Computer Science background with a deep understanding of data structures, algorithms, system design, and deep learning principles. * Comprehensive knowledge of Robotic Navigation, Perception ...