526 to 550 of 1,934 TensorFlow Jobs

related field and 4+ years of experience of Software engineering or related work experience: Experience with SW architecture and programming languages. Experience with tools and frameworks such as PyTorch, TensorFlow, ONNX, and others. Preferred Qualifications: Excellent development skills in Python/C++ Proficient in Data structures and algorithms Hands on expertise in deep learning frameworks such as ONNX, PyTorch More ❯

technical audiences Ideally you have: • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager • Familiarity with AI frameworks such as PyTorch or TensorFlow • Contributions to open-source projects, particularly in the space of DevOps or AI Benefits We have local offices in Paris, London, Marseille and Singapore. France Competitive cash salary and More ❯

quality, scalable software in a fast-paced, innovative environment. Technical Skills: Proficient in developing distributed systems, services, and cloud-based applications. Familiarity with AI/ML frameworks (such as TensorFlow, PyTorch) and practical experience working with cloud platforms (AWS, Azure, GCP). Experience with containerization technologies and CI/CD practices. Experience with Infrastructure as Code (IaC) Problem Solving More ❯

and monitoring (e.g. Kubeflow) - Expert knowledge of automated artefact deployment using YAML based CI/CD pipelines and Terraform - Working knowledge of one or more ML engineering frameworks (e.g. TensorFlow, PyTorch, Keras, Scikit-Learn) - Working knowledge of object-oriented programming and unit testing in Python - Working knowledge of application and information security principles and practices (e.g. OWASP for Machine More ❯

and monitoring (e.g. Kubeflow) - Expert knowledge of automated artefact deployment using YAML based CI/CD pipelines and Terraform - Working knowledge of one or more ML engineering frameworks (e.g. TensorFlow, PyTorch, Keras, Scikit-Learn) - Working knowledge of object-oriented programming and unit testing in Python - Working knowledge of application and information security principles and practices (e.g. OWASP for Machine More ❯

and monitoring (e.g. Kubeflow) - Expert knowledge of automated artefact deployment using YAML based CI/CD pipelines and Terraform - Working knowledge of one or more ML engineering frameworks (e.g. TensorFlow, PyTorch, Keras, Scikit-Learn) - Working knowledge of object-oriented programming and unit testing in Python - Working knowledge of application and information security principles and practices (e.g. OWASP for Machine More ❯

software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Strong problem-solving skills and the ability to More ❯

and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong More ❯

Rancher, etc.) • Python development experience • TS/SCI clearance required to start Desired Skills: • Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn • Understanding of cyber security tools and best practices (e.g., vulnerability scanning, monitoring, encryption, etc.) • Experience automating the training, testing, and deployment of machine learning models More ❯

the team. Qualifications Experience managing data pipelines and leading a data science team. Proficiency in Python and experience with LLMs and NLP frameworks (e.g., Hugging Face, Spacy, Pytorch/Tensorflow). Knowledge of Prompt Engineering, RAG techniques, and evaluation methodologies for integrating GenAI with search/retrieval systems. Experience with LangChain/LlamaIndex, vector databases (e.g., FAISS), and fine More ❯

Rancher, etc.) • Python development experience • TS/SCI clearance required to start Desired Skills: • Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn • Understanding of cyber security tools and best practices (e.g., vulnerability scanning, monitoring, encryption, etc.) • Experience automating the training, testing, and deployment of machine learning models More ❯

s3). Experience with software development life cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your More ❯

Rancher, etc.) • Python development experience • TS/SCI clearance required to start Desired Skills: • Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn • Understanding of cyber security tools and best practices (e.g., vulnerability scanning, monitoring, encryption, etc.) • Experience automating the training, testing, and deployment of machine learning models More ❯

Data Science and across Jazz Research and Development. Required Knowledge, Skills And Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

skills. Nice to have Experience deploying LLMs and agent-based systems Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, ECR, Athena, etc. MLOps: Terraform, Docker, Spacelift, Airflow, MLFlow Monitoring: New Relic CI/CD: Jenkins, Github Actions More information: Enjoy fantastic More ❯

AI, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory). Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Excellent communication skills, both verbal and written. Ability to explain technical concepts to a non-technical audience. Ability to influence stakeholders and broaden others thinking in the area More ❯

high-dimensional data across multiple data and model scales Strong proficiency in Python, SQL, and cloud computing platforms (AWS, Lambda, Modal) Extensive experience with ML frameworks such as PyTorch, TensorFlow, or JAX Familiarity in data and model integration techniques built on heterogeneous data types Proficiency in containerization (Docker) and orchestration (Kubernetes, Dagster, Airflow, Slurm) for ML workloads Experience with More ❯

Own critical platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation More ❯

of experience in AI/ML 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 independently and lead More ❯

Own critical platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation More ❯

/non-linear optimization. Experience working with Java and Python, and strong understanding of data structures, algorithms, and software design patterns. Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch). Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning). Adept at translating business problems into solution statements. Strong communication More ❯

and monitoring (e.g. Kubeflow) Expert knowledge of automated artefact deployment using YAML based CI/CD pipelines and Terraform Working knowledge of one or more ML engineering frameworks (e.g. TensorFlow, PyTorch, Keras, Scikit-Learn) Working knowledge of object-oriented programming and unit testing in Python Working knowledge of application and information security principles and practices (e.g. OWASP for Machine More ❯

good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies More ❯

re looking for: Education: PhD or Master's in Computer Science, AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference More ❯

Experience developing prototypes and tests to communicate and evaluate new product features based on AI/ML innovations Experience with specific ML tools, languages and frameworks Python, Numpy, Pytorch, Tensorflow, Pandas, etc Training, evaluating, and fine-tuning open source models Familiarity with modern ML models and techniques such as transformers, LLMs, diffusion, and contrastive learning Understanding of audio signal More ❯