251 to 275 of 619 Permanent PyTorch Jobs

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 ❯

programming skills in Python or another high-level language commonly used in machine learning. Expertise in NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn). Experience with information retrieval techniques and structured data extraction from unstructured sources. Hands-on experience with LLM APIs More ❯

structured data pipelines including large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image More ❯

Experience Proactive incident management with Azure-based troubleshooting. Python/Go/R. Understanding of generative AI, LLMs, NLP, and machine learning frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Hands on experience in developing and implementing AI and Data cloud solutions. Education and Professional Skills Relevant Professional qualifications, such as More ❯

Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub). Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.) _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as More ❯

and the mathematics of machine learning. Understanding of machine learning best practices, scalable training and deployment, model evaluation, and introspection. Experience with frameworks like PyTorch, TensorFlow, or others. Strong software engineering skills in Python and/or C++. Experience with devops tools: version control, CI/CD, containerization, etc. Preferred More ❯

as Python or Java . Understanding of cloud platforms ( Google Cloud , AWS , Vertex AI , Sagemaker ). Bonus points: Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with data analysis or data science. The experience, skills, and attributes listed above reflect what we believe will contribute to success More ❯

a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and More ❯

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). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work More ❯

e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least one low-level or scientific language (e.g., C, Rust, Go, Julia, or R). Experience with accelerated compute (GPU, TPU More ❯

need to have strong programming skills in languages like Python, R, or other statistical programming tools. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is essential to successfully build and deploy models. Additionally, you should have a solid understanding of statistical analysis techniques, including hypothesis testing 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 ❯

with emerging AI trends and technologies Skills Needed 3+ years of experience in AI and machine learning development Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker More ❯

5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker More ❯

Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker More ❯

modelling). Programming proficiency: Excellent Python programming skills with experience in developing and debugging production-level code. Bonus points: Deep learning frameworks: Expertise with PyTorch and HuggingFace transformers. Generative AI: Strong practical understanding of LLMs and transformers. PhD in a related field. Reinforcement Learning knowledge. 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 ❯

world AI applications. Required: 4+ years in AI/ML engineering with hands-on Databricks experience . Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn. Cloud experience ( Azure preferred, or AWS/GCP). Certifications in Databricks or Azure (e.g., Databricks ML Professional). Why Join Us More ❯

problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is ideal for More ❯

have: Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field. Minimum of 5 years of experience Proficiency in Python , TensorFlow, PyTorch, Keras, or similar frameworks. Desirable: Some experience with Terraform for deploying components in Azure . Experience with: Event Management, APIs, and Azure resources, including Durable More ❯

problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is ideal for More ❯

problem-solving approach and a passion for getting things done. Bonus Points For: ✨ Specialisation in NLP, speech processing, or dialogue systems. ✨ Experience with TensorFlow, PyTorch, or similar frameworks. ✨ Background in question-answering or speech systems. 🎯 Ready to Shape the Future of AI in Mental Health? This role is ideal for More ❯

Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA More ❯