101 to 125 of 306 Remote/Hybrid PyTorch Jobs

experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production ...

experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production ...

experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production ...

experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production ...

experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production ...

experience leading or managing a data science team.Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Expertise in data manipulation, analysis, and visualization tools (e.g., Pandas, Matplotlib, Tableau).Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing ...

EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...)Excellent communication skills to report and present research findings and developments clearly, both orally and in writing.Curious and innovative disposition capable ...

EMNLP, NAACL, ICLR) ) with specific focus on training data curation, synthetic data generation, etc.* Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...)* Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...).* Excellent communication skills to report ...

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 optimization ...

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 ...

Vector 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 ...

Vector 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 ...

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 is a global consulting ...

Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex). Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise ...

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, or classified ...

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 with cloud ...

5+ years (Senior) or 8+ years (Staff) of hands‐on applied ML experience, including production‐grade work. Deep familiarity with modern deep learning stack (PyTorch or JAX), and breadth across at least two of: generative models (diffusion, autoregressive, flow‐based), graph and equivariant networks, vision (CNNs, ViTs, multimodal LLMs), search ...

biomedical foundation models, geometric deep learning, multi-modal learning, and large-scale knowledge graphs.Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.Prior experience working ...

operational efficiency.What we’re looking for:Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits.Working knowledge of common models, and their use cases and experience applying them to solve specific problems.Solid engineering ...

efficiency. What we're looking for: Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits. Working knowledge of common models, and their use cases and experience applying them to solve specific problems. ...

proficiency in GCP’s ML/AI tooling, and its data ecosystem in general. Expert proficiency with Python and its core ML libraries e.g. PyTorch, TensorFlow. Expert proficiency with SQL development, with Google dialects being advantageous. Robust CI/CD discipline for ML, for example, GitHub Actions or GitLab ...

Rust, C++ or 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 ...

collaboration.Hard SkillsComprehensive knowledge of latest AI advancements, such as diffusion, flow matching, transformers, and GANs.4+ years of experience in machine learning frameworks (TensorFlow/PyTorch) with a proven history of building ML pipelines in the audio domain.Proficiency in Python, including package development and collaborative coding practices (e.g., open-source contributions ...

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 Experience ...

data processing and analytics. Strong programming skills in Python , with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch . Experience with Databricks and Spark for data manipulation and querying. Prior experience in the retail industry, with a deep understanding of retail analytics. Previous ...