1 to 25 of 590 TensorFlow Jobs

clean, efficient, and maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools. Extensive expertise ...

grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning. Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning. Experience with API development and connecting AI systems to external platforms. Working knowledge in deep learning techniques, including CNNs, RNNs ...

grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning. Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning. Experience with API development and connecting AI systems to external platforms. Working knowledge in deep learning techniques, including CNNs, RNNs ...

Experience building and optimizing retrieval-augmented generation (RAG) systems Experience architecting and implementing multi-agent AI systems Knowledge of deep learning frameworks (PyTorch or TensorFlow) and NLP, particularly transformer architectures Experience with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes) Experience building solutions using pre-trained LLMs (OpenAI, Claude ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

experience in managing, coaching, and developing junior members of a team and wider community. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

Tableau, Power BI, Matplotlib) Experience with natural language processing (NLP) and text analytics Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch). Familiarity with data security protocols for classified environments Preferred Qualifications: Experience supporting Joint Intelligence or U.S. Geographic Combatant CommandsExperience with advanced analytic ...

could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery ...

equivalent experience (e.g., GitHub projects, personal portfolio). Strong programming skills in Python (preferred), Java, or C++. Experience with machine learning frameworks such as TensorFlow, PyTorch , or Scikit-learn. Proficiency in data manipulation and analysis using Pandas, NumPy, and SQL. Experience with cloud platforms (AWS, Azure, Google Cloud, OpenAI ...

Technology Stack: Programming Languages: Python (primary), JavaScript/TypeScript (for API development), C++ (for performance-critical components). Frameworks and Libraries: Machine Learning: PyTorch, TensorFlow, JAX. Reinforcement Learning: Stable-Baselines3, Ray RLlib, OpenAI Gym, or Gymnasium. Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen, or CrewAI. API Development: FastAPI, Flask ...

product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/ ...

building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model ...

design for long-term scalability, reliability, and resilience. Has strong programming skills with Python - essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated ...

design for long-term scalability, reliability, and resilience. Has strong programming skills with Python - essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated ...

automating large-scale computing environments. Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; Minor experience with TensorFlow, PyTorch, and Scikit-learn. Data Modeling and Design Advanced data modeling (conceptual, logical, and physical) with emphasis on scalability and maintainability. Strong understanding of database ...

technical field Strong proficiency in Python 2-4 years of experience in machine learning or backend software development Hands on experience with ML frameworks (TensorFlow, PyTorch, Scikit learn) Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiarity with model deployment, API development, or real world ...

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 ...

serving for real-world applications used by real people. Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience ...

services (Docker, Kubernetes). Strong understanding of CI/CD pipelines and DevOps practices applied to ML. Familiarity with deep learning frameworks (PyTorch, TensorFlow) and their deployment requirements. Knowledge of monitoring and logging systems (Prometheus, Grafana, ELK/EFK stacks). Strong software engineering background (Python required; C, Rust ...

robust portfolio of projects showcasing the development, validation, and deployment of predictive models and data products. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential Familiarity with Unix/Linux environments, including proficiency with the command line interface and the ability to efficiently manage ...

Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps ...

distributed systems design. Proven experience designing or scaling AI/ML or LLM-based applications. Proficiency in one or more programming languages: Python, JavaScript, TensorFlow, Keras, PyTorch, TypeScript, or Node.js. Familiarity with modern AI frameworks (LangChain, LangGraph, Google ADK, Strands, Semantic Kernel, AutoGen, CrewAI, LlamaIndex). Understanding of Agentic ...