1 to 25 of 250 Keras Jobs

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for More ❯

Direct message the job poster from Dabster At Dabster, we specialize in connecting top talent with leading global companies. We are currently seeking an experienced Gen AI Architect to join our client's team in London, UK . Our mission More ❯

language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills More ❯

language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills More ❯

language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills More ❯

TensorFlow, AI Foundry, OpenAI, Scikit-learn etc.). • Solid understanding of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles, data structures, algorithms, and design patterns. • Experience with version control systems (e.g., Git). • Excellent problem-solving and analytical skills. • Strong communication and More ❯

drug and alcohol testing under the Company's Drug and Alcohol Policy. Page 2 of • Experience with ML/deep learning/neural network frameworks (TensorFlow, PyTorch, Spark/Keras). • Proficiency in Python and C++ (knowledge of Java, Bash script, or R can help). • Experience with RESTful API design and development principles. • Experience with cloud compute services (AWS More ❯

Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Familiarity with big data technologies (e.g., Hadoop, Spark). Excellent problem-solving skills and attention to More ❯

Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.) Experience with Git, Databricks and Microsoft Azure technical stack Prior exposure to Agile methodologies Experience building large scale machine learning systems Master's Degree in Computer Science, Data More ❯

of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using More ❯

scale using SQL in Redshift/BigQuery. Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies. Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers). Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure). More ❯

of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using More ❯

unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with More ❯

unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with More ❯

unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with More ❯

unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with More ❯

unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with More ❯

unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with More ❯

of the mathematics of CNNs and GANs essential, or other advanced deep learning techniques. Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, Keras, or similar. Strong proficiency in programming in Python. Excellent problem-solving skills and the ability to work independently as well as in a team. Strong communication skills with the ability More ❯

strong competencies in data structures, algorithms, and software design. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical More ❯

strong competencies in data structures, algorithms, and software design. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical More ❯

role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis More ❯

role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis More ❯

Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.) Experience with Git, Databricks and Microsoft Azure technical stack Prior exposure to Agile methodologies Experience building large scale machine learning systems Master's Degree in Computer Science, Data More ❯

strong competencies in data structures, algorithms, and software design. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano). Strong coding skills in Python and familiarity with ML/DL libraries like TensorFlow, PyTorch, or JAX. Knowledge of data analytics concepts, including data warehouse technical More ❯