101 to 125 of 348 Remote/Hybrid PyTorch Jobs

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 ...

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 ...

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 ...

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 ...

memory, reasoning, and dynamic tool invocation. Develop and integrate REST APIs and external enterprise systems into AI workflows. Integrate machine learning models using TensorFlow, PyTorch, or Scikit-learn for inference, prediction, and feedback loops. Implement Retrieval-Augmented Generation (RAG), vector search, and knowledge retrieval solutions where applicable. Apply LLMOps best … Strong understanding of LLM architecture, prompt engineering, function calling, tool usage, memory management, and agent orchestration. Hands-on experience with Python. Experience with TensorFlow, PyTorch, or Scikit-learn. Experience building REST APIs and microservices. Experience working with cloud platforms such as AWS, Azure, or GCP. Experience deploying AI applications into ...

memory, reasoning, and dynamic tool invocation. Develop and integrate REST APIs and external enterprise systems into AI workflows. Integrate machine learning models using TensorFlow, PyTorch, or Scikit-learn for inference, prediction, and feedback loops. Implement Retrieval-Augmented Generation (RAG), vector search, and knowledge retrieval solutions where applicable. Apply LLMOps best … Strong understanding of LLM architecture, prompt engineering, function calling, tool usage, memory management, and agent orchestration. Hands-on experience with Python. Experience with TensorFlow, PyTorch, or Scikit-learn. Experience building REST APIs and microservices. Experience working with cloud platforms such as AWS, Azure, or GCP. Experience deploying AI applications into ...

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 ...

delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) MLOps and model operationalisation Additional Requirements: Security clearance (SC/BPSS) Familiarity with regulated industries Awareness of architecture frameworks Working Model: Hybrid working model ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...

Master's degree in Computer Science, Software Engineering, or related field 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility. ...