251 to 275 of 634 Permanent TensorFlow Jobs

public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models into applications. (Secondary) Strong understanding of cloud-native architectures, serverless computing, and cloud monitoring tools (e.g., Azure Monitor, Splunk ...

public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models into applications. (Secondary) Strong understanding of cloud-native architectures, serverless computing, and cloud monitoring tools (e.g., Azure Monitor, Splunk ...

public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models into applications. (Secondary) Strong understanding of cloud-native architectures, serverless computing, and cloud monitoring tools (e.g., Azure Monitor, Splunk ...

public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models into applications. (Secondary) Strong understanding of cloud-native architectures, serverless computing, and cloud monitoring tools (e.g., Azure Monitor, Splunk ...

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 ...

3+ years in AI/ML security or data security.Proven experience designing secure architectures for AI/ML systems.Strong knowledge of:Machine learning frameworks (TensorFlow, PyTorch, etc.)Cloud platforms (Azure, AWS, GCP) and AI servicesIdentity & access management, encryption, and network securityExperience in threat modeling and risk assessment methodologies.Bachelor ...

project objectives. Masters degree in a STEM field (maths, science, engineering etc.) or equivalent Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations ...

Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms ...

delivery.Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related fieldExperience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).Have an established track record of delivering ML solutions to customers and internal stakeholders.Demonstrate deep understanding of AI/ML algorithms for different data ...

delivery.Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related fieldExperience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).Have an established track record of delivering ML solutions to customers and internal stakeholders.Demonstrate deep understanding of AI/ML algorithms for different data ...

data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced ...

data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced ...

support robust model development and interpretation.Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.Proven ability ...

support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. ...

equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven ...

solve complex business problems. Job Description ✔️ Design and implement machine learning and AI algorithms for enterprise applications. ✔️ Build and train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing (NLP) and computer vision techniques. ✔️ Integrate AI solutions into ...

commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command‐line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization ...

documentation. Ability to document and explain technical concepts clearly to non‐technical audiences. Nice to Haves Experience with deep learning frameworks such as TensorFlow or Keras. Knowledge of time‐series modelling techniques, particularly transformers. Experience working with geospatial data and geospatial modelling techniques. Benefits We believe in supporting ...

United Kingdom (GB).Job Description – Python Gen AI DeveloperDay to Day job Duties: • Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX. This includes working with architecture like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs)• Research and implement machine ...

solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least ...

attention to detail Nice to have: experience with big data tools or distributed data systems, familiarity with ML frameworks such as scikit-learn, TensorFlow, and PyTorch, knowledge of data warehousing concepts and modern data stack tools, exposure to DevOps practices, CI/CD, or infrastructure-as-code, experience ...

Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS, Terraform, Kubernetes, Hugging Face, PyTorch/TensorFlow, or Generative AI tooling would be advantageous. Strong communication, stakeholder management, analytical, and problem-solving skills. Comfortable taking ownership and working in a fast ...

Demonstrate proficiency with Python including experience with libraries and frameworks relevant to GenAI application development (e.g., LangChain) Exhibit proficiency with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), and serving tools (e.g., TorchServe, ONNX, Triton) Display proficiency in training or fine-tuning language models (e.g., BERT, Llama2, GPT), and their ...

databases and retrieval MLOps and production deployment AI evaluation, testing and observability AI governance, model risk and engineering controls ML frameworks such as PyTorch, TensorFlow or Scikit‐learn Experience operating in complex, regulated or high‐risk environments would be particularly valuable. More important than any individual technology ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...