226 to 250 of 619 Permanent PyTorch Jobs

Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research. Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of machine learning and deep learning fundamentals. Hands-on experience with at least one of: Familiarity with handling large datasets and More ❯

Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research. Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of machine learning and deep learning fundamentals. Hands-on experience with at least one of: Familiarity with handling large datasets and More ❯

Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research. Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of machine learning and deep learning fundamentals. Hands-on experience with at least one of: Familiarity with handling large datasets and More ❯

ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python Preferred Qualifications Experience in the Architecture, Engineering, and/or Construction domains, including expertise with More ❯

in big data platforms (e.g., Hadoop, Spark, Kafka) and multi-cloud environments (AWS, Azure, GCP) Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) Strong programming skills in Python, Java, or Scala Familiarity with data pipeline development and real-time data processing Proven ability to design and implement data 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 ❯

We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in More ❯

record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA More ❯

machine learning , data science , or applied AI roles. Excellent command of Python . Practical experience with at least one deep learning framework (e.g., TensorFlow , PyTorch ). Comfortable with Git and collaborative development workflows. Proven ability to translate theoretical research into operational AI solutions. Language requirements : Fluent English is sufficient; no More ❯

Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like More ❯

and hands on experience in prompt engineering, deploying and hosting Large Foundational Models Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of More ❯

/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., MLflow, Kubeflow). Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research into More ❯

science and machine learning, with a focus on natural language processing and LLMs. • Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or similar. • Strong understanding of data preprocessing techniques, feature engineering, and model evaluation metrics. • Experience with secure data handling and the ability to work within More ❯

of object-oriented programming concepts. Experience in designing and implementing ETL pipelines, data warehousing, and data modeling. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in statistical modeling, machine learning algorithms, and data mining techniques. Familiarity with data visualization and reporting tools, such as Tableau, Power More ❯

emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills. Preferred requirements More ❯

ML systems. Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow). Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop More ❯

architecture, or data science roles, with a focus on real-world AI applications. Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Experience working with cloud AI services (AWS, Azure, GCP) and AI model deployment. Proficiency in Python, APIs, and AI-driven automation More ❯

compliant APIs, perform image preprocessing (chipping, augmentation, or conversion) using common libraries like Boto3 and NumPy Demonstrated experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (ResNet or U-Net) for large-scale geospatial applications. Demonstrated experience with version control systems such as Gitlab More ❯

and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience communicating and/or teaching technical concepts to non-technical and technical More ❯

ML workflows, especially for LLMs. You have strong programming skills in languages like Python , with a focus on using machine learning frameworks like Transformers , PyTorch , or TensorFlow . You have experience deploying LLM models in production, ensuring they meet the specific needs of client use cases. You have worked on More ❯

ML workflows, especially for LLMs. You have strong programming skills in languages like Python , with a focus on using machine learning frameworks like Transformers , PyTorch , or TensorFlow . You have experience deploying LLM models in production, ensuring they meet the specific needs of client use cases. You have worked on More ❯

Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine learning algorithms (e.g., classification, regression, clustering) and their practical applications. Proficient in data manipulation and analysis using tools like 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 ❯

GDPR) - Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field - Experience using Python and frameworks such as PyTorch, TensorFlow, and practical experience in solving complex problems in an applied environment - Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2 More ❯

project including ETL mappings, code use guide, code location and access instructions. Required Skills Extract, Transform and Load (ETL) tools and processes Python, Pyspark, Pytorch AWS SQL APIs Linux Geospatial tools/data Desired Skills (Optional) Knowledge of agile methodologies/experience delivering on agile teams (Participates in scrum and More ❯