176 to 200 of 558 PyTorch Jobs

concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in More ❯

concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in More ❯

and end users. Ability to obtain and maintain a security clearance is required Preferred Qualifications: Experience with AI/ML frameworks such as TensorFlow, PyTorch, or OpenAI APIs. Experience with programming languages and frameworks including UML, C++, C#, JSON, HTML, JavaScript, CSS, GIT lab, SQL, EF OO Framework, REACT, REDUX More ❯

and end users. Ability to obtain and maintain a security clearance is required Preferred Qualifications: Experience with AI/ML frameworks such as TensorFlow, PyTorch, or OpenAI APIs. Experience with programming languages and frameworks including UML, C++, C#, JSON, HTML, JavaScript, CSS, GIT lab, SQL, EF OO Framework, REACT, REDUX More ❯

one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the More ❯

one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the More ❯

one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Security Clearance Only those with the permanent and unrestricted right to live and work in the UK More ❯

statistical analysis and/or modeling and simulation Experience building or refining machine learning models Demonstrated experience with the following python packages: Pandas, Numpy, Pytorch or Tensorflow, Sklearn, Pyodbc, Matplotlib, and Seaborn. Experience with a large variety of programing languages: Matlab, SQL, C#, Javascript, VBA Experience deploying data pipelines Ability More ❯

major data science tools and languages such as Python, PostgreSQL/SQL, Spark, and Git Experience using ML and data science packages such as PyTorch, TensorFlow, or scikit-learn Experience leveraging open-source models and adapting them to generate custom solutions Able to work on-site in Chantilly, Va ACTIVE More ❯

such as chipping, augment, or conversion using common libraries like Boto3 and NumPy. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery. Demonstrated professional More ❯

development and machine learning/computer vision solutions. Technical Skills: Proficiency in Python and C/C++, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and strong understanding of computer vision algorithms. Domain Knowledge : Understanding of life science imaging techniques and knowledge of regulatory standards and data privacy requirements in More ❯

for reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and More ❯

use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and analytical problem-solvers, with a Degree, Masters or PhD in a mathematical, scientific, or computational field Strong More ❯

use of fundamental data science libraries (e.g., Pandas, NumPy, Sci-kit-Learn). You may also have experience with Deep Learning models (libraries including PyTorch, Transformers) and usage of GenAI. Highly numerate and analytical problem-solvers, with a Degree, Masters or PhD in a mathematical, scientific, or computational field. Strong More ❯

learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through More ❯

learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through More ❯

learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through More ❯

learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through More ❯

learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through More ❯

years of experience in data science, preferably within national security contexts • Proficiency in Python and core data science tools (e.g., NumPy, pandas, scikit-learn, PyTorch/TensorFlow) • Experience working in secure, classified environments • Ability to translate ambiguous operational needs into structured analytic tasks Preferred Experience • Familiarity with DoD data systems More ❯

ML/AI strategy. Key skills: Python for Machine Learning and Data Science. Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Computer vision. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data More ❯

computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions More ❯

solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions More ❯

new technologies and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB More ❯