126 to 150 of 585 Permanent PyTorch Jobs

experience with LLMs such as OpenAI GPT, Anthropic Claude, Mistral, Cohere, or similar. Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation, and prompt engineering. Strong understanding of NLP techniques including text classification, summarization, sentiment analysis More ❯

complex technical concepts effectively to non-technical audiences Experience with cloud platforms (Azure, AWS, GCP) is desirable Experience with Machine Learning libraries (scikit-learn, PyTorch) and statistical techniques is desirable Knowledge of the electricity market is desirable Employee Benefits We offer a comprehensive benefits package, including: Performance bonus up to More ❯

complex technical concepts effectively to non-technical audiences Experience with cloud platforms (Azure, AWS, GCP) is desirable Experience with Machine Learning libraries (scikit-learn, PyTorch) and statistical techniques is desirable Knowledge of the electricity market is desirable Employee Benefits We offer a comprehensive benefits package, including: Performance bonus up to More ❯

scalable backend services. Demonstrated expertise in deploying ASR, LLM, or TTS models in production environments. Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or Hugging Face. Experience deploying and scaling services using cloud platforms (e.g., AWS, GCP, Azure), Kubernetes, and Docker. Strong understanding of microservices architecture, REST More ❯

experience, or an MS with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned More ❯

re comfortable developing or learning to develop custom metrics, identify biases, and quantify data quality. Strong Python skills for Data & Machine Learning, familiarity with PyTorch and TensorFlow. Experience with distributed computing and big data - scaling ML pipelines for large datasets. Familiarity with cloud-based deployment (such AWS, GCP, Azure, or More ❯

degree in computer science, or related technical, math, or scientific field. Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker More ❯

cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based More ❯

new technologies and evaluating the state of the art in machine learning algorithms for text analytics5. Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow6. Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc)7. Demonstrated experience with NoSQL data stores such as MongoDB or More ❯

Best Practices Qualifications: 2+ years of experience with Python or other programming languages (e.g., Java, C#, GoLang) Ideal candidates will have experience working with Pytorch and supporting machine learning efforts Experience with API design and implementation Experience supporting code reviews Experience with Cloud Providers (AWS, GCP, and Azure) preferably AWS More ❯

environment. Exposure to Database Technologies (SQL, Mongo, PostgreSQL, Redis, Etc.) Exposure to Natural Language Processing (NLP) techniques Exposure to Deep learning frameworks (e.g., TensorFlow, PyTorch) Experience with Docker containerization Experience with RESTful API design principles Exposure to vector database's Knowledge on industry best practices for web development Willing to More ❯

in a meaningful, relevant and engaging manner Experience with cloud platforms desirable (Azure, AWS or GCP) Experience working with Machine Learning libraries (scikit-learn, PyTorch) and statistical techniques is desirable Knowledge of the electricity market is desirable Employee Benefits As if contributing to and supporting work that makes life better More ❯

Familiarity with containerization (Docker) Understanding of RESTful APIs and microservices architecture. Experience with AI/ML-related tools and libraries (e.g., Hugging Face, LangChain, PyTorch) preferred A strong intuition for what makes products a joy to use. Empathy for how different users will need different things out of a product More ❯

development of web-based client-server software architectures and dynamic user interfaces for data-driven web visualization applications. Experience with AI frameworks like TensorFlow, PyTorch, or similar. Strong programming skills in Python, Java, or C++. Required Clearance Secret Clearance About Integrity Defense Solutions Integrity Defense Solutions offers competitive full-time More ❯

clearance, with SCI eligibility preferred Must be a US Citizen due to DoD contract Desired Skills Familiarity with Deep Learning libraries (i.e. TensorFlow, Keras, PyTorch, etc.) Experience with Python web technologies (i.e. Dash, Flask, Django, etc.) Familiarity with Natural Language Processing (NLP) Experience with AWS/GovCloud technologies Security+ Certification More ❯

high availability. Very strong technical background leading application development - with experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About More ❯

An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example More ❯

products. Master's degree or higher in Computer Science, Engineering, AI, Machine Learning, or equivalent experience. Expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain, RAGAs), including hands-on model building and fine-tuning. Strong collaboration & communication skills , able to engage diverse stakeholders and translate complex technical concepts More ❯

externally through journal publications and conference participation Experience with Python or C++ and machine learning sof tware implementation using machine learning libraries, including TensorFlow, Pytorch, or Keras Experience with Git, JIRA, Agile development and DevSecOps, or MLOps workflows Knowledge of ROS, ROS2, ROS-M, MOOS-IvP maritime autonomy architecture, Gazebo More ❯

paced, innovative environment. Technical Skills: Proficient in developing distributed systems, services, and cloud-based applications. Familiarity with AI/ML frameworks (such as TensorFlow, PyTorch) and practical experience working with cloud platforms (AWS, Azure, GCP). Experience with containerization technologies and CI/CD practices. Experience with Infrastructure as Code More ❯

communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

AI/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and More ❯

of experience in software engineering, with a focus on machine learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud More ❯

AI/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and More ❯

of experience in machine learning engineering, with a strong focus on productionizing ML models and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines More ❯