101 to 125 of 225 Remote TensorFlow Jobs

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 ...

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 ...

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 ...

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 ...

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 ...

software engineering best practices. Experience across the machine learning lifecycle, including taking models into production. Hands-on experience with frameworks such as Scikit-learn, TensorFlow or PyTorch. Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of cloud architecture, infrastructure and security. Practical experience with Docker ...

engineers and leading by example. Strong understanding of software architecture principles and system design. Familiarity with integrating AI/ML APIs or frameworks (e.g., TensorFlow, PyTorch) is a plus. Excellent communication skills and a collaborative approach to problem solving. The Mindset We Value: Relentless Innovation: We're looking ...

experience (AWS/GCP) and containerization (Docker, Kubernetes)Experience with distributed data processing and ETL pipelines (Airflow, Spark)Familiarity with ML frameworks such as TensorFlow or PyTorchAbout us:We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London ...

technical depth Who we’re looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience ...

Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience with LLMs, neural networks, and recommendation systems. Frameworks: TensorFlow, PyTorch, Hugging Face, OpenAI tools. Certifications: Cloud or AI architecture certifications are a plus. About SDG Group and the Role SDG Group ...

production. Experience applying and deploying the latest frontier models is desirable.Preferred technical skills include:Core engineering: Python, REST APIs, microservices.AI and machine learning: PyTorch, TensorFlow, LangChain, LlamaIndex.Data and databases: SQL databases, Python data tooling, Pandas, NumPy.Frontend: React, Next.js, JavaScript/TypeScript, modern UI frameworks.Experience operating in restricted, regulated ...

programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

demonstrating breadth of knowledge to solve almost any problem. You possess strong Python skills and practical experience operationalising models using frameworks like Scikit‐learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build ...

tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present ...

external partners like Google DeepMind.Skills and qualifications EssentialAI/ML Engineering: Deep conceptual and practical understanding of deep learning frameworks (e.g., JAX, PyTorch, TensorFlow), large-scale cloud training or inference infrastructure, and LLM ecosystems.Adversarial ML Mindset: Strong familiarity with AI security threat vectors (prompt injection, model inversion, data poisoning ...

diligence, value creation and executionYou have a strong technical background including Python, Cloud environments (AWS, Azure, GCP) and modern Machine Learning libraries (e.g. PyTorch, TensorFlow, Scikit)You have advanced experience in conducting data maturity assessments and developing data strategies that drive business transformation and measurable outcomesYou have a deep ...

theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually and face-to-face ...

learn Required/Desirable Skills Strong understanding of generative AI architectures and prompt engineering patterns (essential) Ability to code in Python (essential) Familiarity with TensorFlow, PyTorch, or Hugging Face (essential) Experience with version control, e.g., Git (essential) Understanding of CI/CD pipelines (essential) Strong documentation and requirements analysis ...

models on DatabricksFamiliarity in Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud-native and containerised architectures, including Kubernetes and serverless technologies. ...

Python services as required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled ...

Python services as required; possesses hands-on experience with neural networks and deep learning models; has comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies. ...