126 to 150 of 242 Permanent Keras Jobs

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

Processing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras, pandas, and numpy Expert understanding of SQL & Python programming More ❯

Processing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras, pandas, and numpy Expert understanding of SQL & Python programming More ❯

Processing & Large Language Models Experience building Data Science tools or Agentic Frameworks Experience in AdTech or data-driven marketing Experience with scikit-learn or keras, pandas, and numpy Expert understanding of SQL & Python programming More ❯

to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. This is an More ❯

to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. If you're More ❯

to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, TensorFlow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. If you’re excited More ❯

and battery-powered devices. Proficiency in coding, especially in Python, C, and C++. Experience with computer vision, image processing, and ML frameworks like TensorFlow, Keras, PyTorch, scikit-learn. Experience with OpenCV, AWS Sagemaker, and S3. Skills: Proficiency with AWS Cloud Services. #J-18808-Ljbffr More ❯

in electrical engineering, computer science, physics, mathematics or related fields; You have the knowledge and the experience with Python/PyTorch/Tensorflow/Keras or other learning framework; You are proficient in English verbal and written; You are available for the minimum internship period of 6 months, preferably longer More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯

functional programming etc). Ability to write clean, robust, readable, error handling and error tolerant code. Good knowledge of at least one of PyTorch, Keras, or Tensorflow. Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, and DynamoDB. Good knowledge of DevOps and MLOps tools, including More ❯

Oracle technologies (cx_Oracle), as well as using python to interact with MS Office applications. ·Desirable skills include use of ML libraries (Scikit-learn,Keras, Tensorflow), web development frameworks such as Flask and Django, using Python to perform text manipulation (NLTK) and knowledge of data visualization libraries such as Matplotlib More ❯

AI research community. Experience 10+ years of hands-on experience in AI development . Proven expertise in computer vision , including frameworks like TensorFlow, PyTorch, Keras, or similar . Strong experience with machine learning using cloud AI tools from Google, Amazon, Microsoft , and others. Experience in deploying AI solutions for large More ❯

4+ years working with ML models in production ️ Strong Python skills (PyTorch, scikit-learn, XGBoost) and familiarity with ML Ops tooling (MLflow, W&B, Keras, Tensorflow) ️ Production-level engineering skills - Docker, CI/CD, Azure, SQL, model monitoring ️ Deep understanding of data reliability, explainability and model evaluation in noisy domains More ❯

4+ years working with ML models in production ️ Strong Python skills (PyTorch, scikit-learn, XGBoost) and familiarity with ML Ops tooling (MLflow, W&B, Keras, Tensorflow) ️ Production-level engineering skills - Docker, CI/CD, Azure, SQL, model monitoring ️ Deep understanding of data reliability, explainability and model evaluation in noisy domains More ❯

company's tech stack. Some preferred tools and technologies include: Languages: Python for ML, R for data analysis ML Libraries: scikit-learn, Prophet, TensorFlow, Keras Data Processing/Storage: SQL, Spark Cloud Platform: Azure Version Control: Git We're looking for someone who: Has experience leading or mentoring ML teams More ❯

Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile company at More ❯

Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile company at More ❯

using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross More ❯