176 to 200 of 357 TensorFlow Jobs

written communication skills Preferred Qualifications: ServiceNow certifications (CSA, CAD, or other relevant modules) Experience with REST/SOAP APIs and enterprise integrations Knowledge of AI tools such as OpenAI, TensorFlow, or Azure Cognitive Services Agile/Scrum experience in a cross-functional team environment More ❯

of AI technologies, algorithms, and frameworks . Proficiency in programming languages (Python, R, C/C++, Java) and secure coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific security More ❯

Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected More ❯

Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected More ❯

deep learning and generative AI techniques, including implementing custom architectures, pretraining/fine-tuning generative models, building agentic workflows, and deploying solutions with real-world constraints. Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Preferred Qualifications Experience in building AI agents (based on RL, LLMs, etc.) Experience in building multi-agent simulation Background in Large Language Models/NLP More ❯

software development experience, with 3+ years in a leadership role. Proven experience with AI/ML technologies and real-world implementations. Deep expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, LLMs). Strong communication, leadership, and team-building skills. Experience in agile environments and managing multiple concurrent projects. Strong architectural and strategic thinking. Experience with cloud infrastructure and More ❯

or PhD). Excellent leadership and organisational skills, with a track record of developing and leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be More ❯

Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected More ❯

extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed training and inference support into Pytorch, Tensorflow, Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on More ❯

Language Processing (NLP) models for tasks like text classification, sentiment analysis, and entity recognition. Experience with Natural Language Generation (NLG) models for tasks like text summarization. Databricks, Spark, PyTorch, Tensorflow, Python, Scala, CoreNLP, and Transformer foundational models Experience as a scrum participant and software release processes Available to work after hours when mission requires Communicate work using SMART Agile More ❯

limited to: Python, R, Scala, Spark Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition. Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch. Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning Experience working with VectorDBs More ❯

Approaches: Machine learning, optimisation, stochastic and agent-based models About You Experience in the energy sector - markets, trading, forecasting, etc. Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Knowledge of GitHub/Azure DevOps and SQL advantageous. Excellent communicator, able to explain technical concepts to non-technical audiences. Degree (or equivalent experience) in a numerical More ❯

building data pipelines to integrate and process diverse data sources. • Understanding of data modeling, data warehousing, and data governance principles • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding model serving, monitoring, and deployment strategies is beneficial Compensation: • $190,000 - $290,000 (Based on years of relevant More ❯

The successful candidate will possess some combination of the following: • a strong foundation in programming (especially Python), mathematics, and machine learning concepts; • past experience with AI frameworks, such as TensorFlow or PyTorch; • knowledge and experience with various machine learning types (supervised, unsupervised, reinforcement) and deep learning architectures; • proficiency in database management, including SQL, NoSQL databases, and RDBMS design; • knowledge More ❯

and know how to translate those into robust, scalable digital environments. Experience with HPC, cloud platforms (AWS, Azure, GCP), containerisation (Docker, Singularity), and research software tools (MATLAB, R, Python, TensorFlow, NVivo) is essential. Familiarity with data governance, reproducibility frameworks, and AI ethics is highly desirable. More ❯

Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected More ❯

working with large databases and data warehouses. You'll be proficient in Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you'll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification More ❯

Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or More ❯

Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected More ❯

field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state-of-the-art architectures experience with computer vision algorithms excellent communication More ❯

field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state-of-the-art architectures experience with computer vision algorithms excellent communication More ❯

field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state-of-the-art architectures experience with computer vision algorithms excellent communication More ❯

medical, aerospace, or automotive Experience of real-time operating systems and embedded development Experience working to an Agile lifecycle. Awareness of machine-learning frameworks such as Pytorch, Keras/Tensorflow, MATLAB Machine Learning toolbox Awareness of mathematical libraries used for signal processing, image processing and data processing Awareness of high-performance computing and the challenges of parallel processing This More ❯

and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications Proficiency in Python and C++ Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and MLOps tools/platforms Communication, interpersonal, and collaboration skills for working in a dynamic, cross-functional environment Company Statements Equal Opportunity Rivian is an equal opportunity employer and More ❯

or related fields Relevant experience in delivery of AI design, build, deployment or management Proficiency or certification in Microsoft Office tools, as well as relevant technologies such as Python, TensorFlow, Jupiter Notebook, Spark, Azure Cloud, Git, Docker and/or any other relevant technologies Strong analytical and problem-solving skills, with the ability to work on complex projects and More ❯