101 to 125 of 947 PyTorch Jobs

C#, JavaScript, Kotlin, Java or Go)Experience with Gen AI tools (such as LangGraph, CrewAI, Hugging Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlowStrong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost optimisationExperience with cloud platforms ...

under high concurrent traffic. Required Skills and Qualifications Core Programming & Frameworks Language: Mastery of Python and its asynchronous ecosystem. ML Ecosystem: Deep expertise in PyTorch, Scikit-learn, and NumPy. Compilation: Experience accelerating Python code via Numba or Triton. Conversational AI Experience Speech Technologies: Hands-on experience deploying Automated Speech Recognition ...

training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure ...

science or machine learning, with a strong track record of delivering impactful solutions. Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience with statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques. Experience with generative AI principles. Intermediate to fluent ...

training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit‐learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure ...

Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud ...

into production environments. Essential experience includes: Strong commercial development experience with Python , including asynchronous programming. Strong knowledge of the Python machine learning ecosystem, particularly PyTorch, Scikit-learn and NumPy . Experience deploying speech technologies , ideally including both ASR and TTS models. Experience deploying, serving or optimising Large Language Models ...

with a track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud ...

computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment ...

computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment ...

Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with PyTorch and related data science Python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud ...

experience training, deploying, and maintaining machine learning models in production environmentsProficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch)Experience with MLOps practices and tools for managing the machine learning lifecycleExperience building and deploying Generative AI applications, including familiarity with LLMOpsExposure to cloud platforms ...

training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure ...

generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model ...

interest in NLPBroad knowledge of MLOps tooling – for versioning, reproducibility, observability etc.Experience monitoring, maintaining, enhancing existing models over an extended time periodExtensive experience with pytorch and related data science python libraries (e.g. pandas)Experience of containerising applications or models for deployment (Docker)Experience with one of the major public cloud ...

platforms supporting training, batch workloads, inference, orchestration, observability, reliability, and cost efficiencyHands-on experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, and related toolingDeep experience with agentic AI systems, including planning, tool use, memory, evaluation, retrieval, embeddings, vector databases, and agent ...

Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices ...

agent systems and autonomous decision-making frameworks. Highly proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack). A proven track record of designing RESTful APIs, microservices, and event-driven ...

customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid ...

Python frameworks such as FastAPI.Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems.Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies.A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring.Experience creating automated evaluations for generative ...

shipping models to production and supporting them post-deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure and/ ...

multi-agent systems and autonomous decision-making frameworks.Highly proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack).A proven track record of designing RESTful APIs, microservices, and event-driven architectures ...

shipping models to production and supporting them post-deployment.* Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms (especially Azure ...

customer data into automated, high-value business insights. Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid ...

Multiple years experience of delivering novel ML solutions to customers and internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management ...