201 to 225 of 430 Permanent TensorFlow Jobs

GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 2+ years of experience with Machine Learning technologies such as scikit-learn, PyTorch, or TensorFlow 1+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The More ❯

GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 2+ years of experience with Machine Learning technologies such as scikit-learn, PyTorch, or TensorFlow 1+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The More ❯

GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 2+ years of experience with Machine Learning technologies such as scikit-learn, PyTorch, or TensorFlow 1+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The More ❯

GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 2+ years of experience with Machine Learning technologies such as scikit-learn, PyTorch, or TensorFlow 1+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The More ❯

GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 2+ years of experience with Machine Learning technologies such as scikit-learn, PyTorch, or TensorFlow 1+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The More ❯

GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 2+ years of experience with Machine Learning technologies such as scikit-learn, PyTorch, or TensorFlow 1+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The More ❯

General & Specialist Knowledge Strong technical skills, proficient in various programming languages, frameworks, and tools for DLT/Blockchain, data analysis and AI development, such as Solidity (Ethereum), Python, R, TensorFlow, PyTorch, Scikit-learn, etc; Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail oriented; Experience in developing and deploying applications and More ❯

systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing More ❯

Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud More ❯

your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python and/or R for developing machine learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge More ❯

NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Preferred More ❯

years in a leadership role. Proven experience delivering production-grade systems in Search, Recommender Systems , or Personalisation . Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with GenAI , including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models). Deep knowledge of MLOps, experimentation, and model evaluation techniques. Experience scaling ML More ❯

years in a leadership role. Proven experience delivering production-grade systems in Search, Recommender Systems , or Personalisation . Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with GenAI , including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models). Deep knowledge of MLOps, experimentation, and model evaluation techniques. Experience scaling ML More ❯

years in a leadership role. Proven experience delivering production-grade systems in Search, Recommender Systems , or Personalisation . Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with GenAI , including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models). Deep knowledge of MLOps, experimentation, and model evaluation techniques. Experience scaling ML More ❯

years in a leadership role. Proven experience delivering production-grade systems in Search, Recommender Systems , or Personalisation . Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with GenAI , including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models). Deep knowledge of MLOps, experimentation, and model evaluation techniques. Experience scaling ML More ❯

years in a leadership role. Proven experience delivering production-grade systems in Search, Recommender Systems , or Personalisation . Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with GenAI , including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models). Deep knowledge of MLOps, experimentation, and model evaluation techniques. Experience scaling ML More ❯

or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience More ❯

Python. Rust and C++ are nice to have. 3+ years designing and building data-intensive solutions with distributed computing. 2+ years with industry-recognized ML frameworks (scikit-learn, PyTorch, TensorFlow, Spark, Ray). 1+ year productionizing, monitoring, and maintaining models. Bachelor's degree or equivalent work experience. Preferred Qualifications: 1+ years building, scaling, and optimizing ML systems. 1+ years More ❯

field Good foundational understanding and subsequent practical application of ML techniques, preferably NLPs, LLMs, Bayesian Optimisation and MCMCs Strong proficiency in Python and ML frameworks and tools (e.g. PyTorch, TensorFlow, JAX, Hugging Face, vLLM, MCP, prompt engineering) Excellent communication skills and ability to explain ML concepts to non-technical stakeholders Ability to work effectively in multi-disciplinary teams, collaborating More ❯

field Good foundational understanding and subsequent practical application of ML techniques, preferably NLPs, LLMs, Bayesian Optimisation and MCMCs Strong proficiency in Python and ML frameworks and tools (e.g. PyTorch, TensorFlow, JAX, Hugging Face, vLLM, MCP, prompt engineering) Excellent communication skills and ability to explain ML concepts to non-technical stakeholders Ability to work effectively in multi-disciplinary teams, collaborating More ❯

service 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience in open source frameworks 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization More ❯

service 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience in open source frameworks 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization More ❯

service 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience in open source frameworks 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization More ❯

service 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience in open source frameworks 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization More ❯

service 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience in open source frameworks 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization More ❯