1 to 25 of 206 PyTorch Jobs

assistants/agents). Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy). Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures. Practical experience with LLMs, prompt engineering ...

Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs ...

implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such ...

years of IT experience with minimum of 2 years of required AI tool working experience Programming: Python (preferred), Java, or Scala ML Frameworks: TensorFlow, PyTorch, Scikit-learn AI/GenAI: prompt engineering (preferred), Claude CLI/Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIs Data Tools (Optional): Pandas, NumPy, Spark ...

experience in building and deploying machine learning models in production environments. Strong programming skills in Python, with proficiency in machine learning frameworks such as PyTorch, TensorFlow, or JAX. Solid understanding of modern machine learning techniques including deep learning, NLP, recommendation systems, or LLMs. Experience with cloud platforms ...

CCPA). Required Education, Experience/Skills/Training: Minimum Qualifications: • Must have strong production experience with deep-learning, genAI, or retrieval-augmented systems (PyTorch, vector databases) and real-time data pipelines (Kafka, Pub/Sub, Kinesis) • Must have 7+ years of professional experience delivering production ML systems (models + ...

experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python (e.g. pandas, scikit-learn, NumPy, TensorFlow/PyTorch) Proven experience in model productionisation and deployment in real-world environments Hands-on experience with MLOps, including CI/CD for ML, versioning, and monitoring ...

Python and C#/.NET. Experience building and deploying production ML systems and APIs. Hands-on knowledge of ML frameworks such as TensorFlow, PyTorch, scikit-learn, or similar. Experience with cloud platforms and modern data infrastructure (AWS preferred). Familiarity with Docker, CI/CD pipelines, and scalable deployment practices. ...

problem-solving skills. Preferred Qualifications/Skills Experience with healthcare AI, clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented ...

async programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile ...

workflow development NLP, speech recognition and conversational AI solutions Fine-tuning and optimisation of AI models Model evaluation, monitoring and governance Technologies Python (essential) PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face Vector Databases (Pinecone, Weaviate, ChromaDB or similar) FastAPI REST APIs Cloud & Infrastructure AWS (essential) Bedrock SageMaker Lambda ...

degree (or Master's) in Machine Learning, Computer Science, Mathematics, or a related discipline Strong Python skills and familiarity with ML frameworks such as PyTorch, TensorFlow, or Hugging Face Understanding of core ML concepts: neural networks, transformers, classification, regression, and model evaluation Some exposure to LLMs, generative ...

modeling, or real-time monitoring systems. Recommender Systems Collaborative filtering, ranking models, personalization engines, or content recommendation pipelines. Computer Vision Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. MLOPS & INFRASTRUCTURE MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or equivalent ...

deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ...

degree (or Master’s) in Artificial Intelligence, Computer Science, Mathematics, or a related discipl ineStrong Python skills and familiarity with ML frameworks such as PyTorch, TensorFlow, or Hugging F aceUnderstanding of core ML concepts: neural networks, transformers, classification, regression, and evaluat ionSome exposure to LLMs, generative AI, or NLP — whether ...

Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience ...

stakeholder-heavy environments Experience in a senior or architect-level role, with strong technical leadership capability Key Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL, Spark, Databricks) API and microservices architecture ...

Proficiency in languages commonly used in AI and cloud development (eg, Python, C#, JavaScript). AI/ML Frameworks - Familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn. Azure Cloud Platform - Deep expertise in Azure, particularly AI and data services. Containers & Kubernetes - Experience deploying AI workloads using Docker ...

Avoid repetition) Proficiency in Python programming Foundational understanding of machine learning concepts and algorithms Familiarity with frameworks such as TensorFlow (or PyTorch equivalent) Basic knowledge of Natural Language Processing (NLP) techniques Understanding of Neural Networks and deep learning fundamentals Exposure to Generative AI concepts and LLMs (e.g., prompt engineering, embeddings ...

models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA. Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development. Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. Google AI & Workspace ...

ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation ...

ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation ...

ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation ...

ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation ...

production Tech environment includes: Python AWS/Azure/GCP Kubernetes & Docker FastAPI Infrastructure as Code CI/CD pipelines ML frameworks such as PyTorch/TensorFlow What they’re looking for: Strong Python engineering experience Experience deploying ML models into production Cloud and containerisation experience Excellent communication skills Someone ...