51 to 75 of 89 Keras Jobs

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. ·Strong mathematical and statistical background. ·Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. ·Experience and understanding of mixed technical teams such as engineering, architects, business analysts. ·Familiar with MLOps industry best practices. ·Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive salary, commission, and equity in a hyper growth business. 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 ❯

to build advanced data models, including predictive and prescriptive modelling. Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe. Understanding of machine learning, natural language processing, and deep learning. Experience with cloud-based AI services and platforms. Knowledge of regulatory More ❯

to build advanced data models, including predictive and prescriptive modelling. Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe. Understanding of machine learning, natural language processing, and deep learning. Experience with cloud-based AI services and platforms. Knowledge of regulatory 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 ❯

Google Cloud Platform (GCP) and Vertex AI. Extensive experience in Python programming and using Jupyter notebooks. Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML. Strong knowledge of image processing techniques and algorithms. Experience in data wrangling, processing, and technical documentation. The ability to communicate complex technical More ❯

Google Cloud Platform (GCP) and Vertex AI. Extensive experience in Python programming and using Jupyter notebooks. Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML. Strong knowledge of image processing techniques and algorithms. Experience in data wrangling, processing, and technical documentation. The ability to communicate complex technical More ❯

me to review the details around this offer: Experience with: - Designing CNNs, RNNs - Training using gradient and RL based learning - Pytorch preferably, Tensorflow and Keras OK - 3D physics simulations - Python Comfortable with: - Working in 3D - Computer graphics concepts: meshes, point clouds, rendering - Computer vision concepts Nice to have experience with More ❯

me to review the details around this offer: Experience with: - Designing CNNs, RNNs - Training using gradient and RL based learning - Pytorch preferably, Tensorflow and Keras OK - 3D physics simulations - Python Comfortable with: - Working in 3D - Computer graphics concepts: meshes, point clouds, rendering - Computer vision concepts Nice to have experience with More ❯

will learn to use a variety of tools and technologies, including: Statistics and visualistion Python Excel Power BI Machine learning Python Sklearn NLTK Tesnorflow & Keras Cloud services AWS Azure GCP Foundation models OpenAI Hugging Face Development environments Google Colab Anaconda Alternative environments available. This role is designed for individuals who More ❯

data flows in NiFi or Pentaho. Experience with C, C++, XML, XQuery, XPath, HTML/XHTML, CSS, JSON, JavaScript. Familiarity with data science frameworks (Keras, TensorFlow, Theano). Experience with search architecture. Familiarity with server operating systems (Windows, Linux), distributed computing, and cloud infrastructure. Familiarity with database methodologies and source 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 ❯

structured technical documentation for both internal and external use. Key skills required: Solid background in Python, Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity you've been looking for More ❯

creating high-performance implementations of machine learning algorithms Good knowledge of data structures, data modelling and software architecture Proficiency with machine learning frameworks (like Keras or Tensorflow) and libraries (like scikit-learn) Past experience in developing data software products (optional) Track record of coming up with new ideas in machine More ❯

creating high-performance implementations of machine learning algorithms Good knowledge of data structures, data modelling and software architecture Proficiency with machine learning frameworks (like Keras or Tensorflow) and libraries (like scikit-learn) Past experience in developing data software products (optional) Track record of coming up with new ideas in machine 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 More ❯