151 to 175 of 574 Permanent PyTorch Jobs

development. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies: Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. More ❯

building language model applications. Proficiency in Python and SQL, with strong skills in data manipulation and analysis. Expertise in AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders. Preferred Qualifications Experience with graph databases and knowledge graphs. More ❯

in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire More ❯

in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire More ❯

and other traditional machine learning models, translating conceptual ideas into actual solutions. Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow. Proficient in Python and able to transform abstract machine learning concepts into robust, efficient, and scalable solutions. Strong Computer Science fundamentals and object More ❯

MLOps best practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation More ❯

MLOps best practices for seamless model deployment, monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation More ❯

e.g., AWS, GCP, etc.). Familiarity with database systems, including SQL and NoSQL databases. Familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.) Experience in designing and implementing end-to-end data pipelines for web content retrieval and processing. Excellent problem More ❯

clearance Preferred Qualifications: Master's degree in Remote Sensing, Computer Science, Geospatial Science, Data Science, or related field Experience with machine learning frameworks (TensorFlow, PyTorch) and their application to geospatial data Experience with GIS tools such as QGIS, ArcGIS, etc. Knowledge of deep learning architectures specifically designed for remote sensing More ❯

deploying machine learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (eg, TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication and interpersonal More ❯

and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving More ❯

Python, Go, or C++ . Strong understanding of Natural Language Processing (NLP) and Machine Learning (ML) . Practical experience with AI frameworks like TensorFlow, PyTorch, or similar. Experience with open-source platforms such as Hugging Face. Prior experience with Generative AI models (e.g., GPT-3, GPT-4 or similar). More ❯

field is required. Demonstrated ability in cybersecurity with a focus on artificial intelligence. Demonstrable experience with LLMs, deep understanding of AI/ML frameworks (PyTorch, Hugging Face, TensorFlow, etc.). Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the More ❯

for NLP tasks in industry. Demonstrable industry experience delivering AI/ML frameworks for a product. Expertise in working with ML frameworks such as PyTorch, Tensorflow, scikit-learn, Langchain. Experience with DL architectures such as transformers/CNNs. Excellent programming skills in Python and object-oriented paradigm. Agile software development More ❯

clustering, classification, regression techniques, etc.) Familiarity with Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.) Familiarity with PyTorch , TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications: 2D & 3D Generative AI Reinforcement Learning LLMs and Natural More ❯

engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet - Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing More ❯

Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that More ❯

engineering or other equivalent quantitative discipline - Experience building machine learning models or developing algorithms for business application - Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals - Proven achievements of developing and managing More ❯

simulation. Experience working with computer vision models, tools, and systems. Strong proficiency in Python and associated data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, MLFlow). Experience with simulation tools and techniques. Solid understanding of machine learning concepts, statistical analysis, and algorithm design. Open Until Filled If a projected More ❯

in the field of machine learning. Strong Programming Skills: Proficiency in Python 3.x. Python Scientific Computing: Experience with Python packages such as Matplotlib, Numpy, PyTorch, and Tensorflow. Machine Learning Expertise: Solid understanding of foundational statistics concepts and ML algorithms as well as demonstrated experience in building and executing machine learning More ❯

OOP, 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 More ❯

deploy trained machine learning models into production environments; Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch; Experience with software engineering best practices and developing applications in Python; Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one 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 ❯

scalable cloud-based platforms (AWS, Azure, or GCP) Proficiency in Python, JavaScript/TypeScript, or similar languages Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and data technologies (SQL, NoSQL, Spark) Company Background Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we 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 ❯