751 to 775 of 1,119 TensorFlow Jobs

finance, big tech, or high-stakes domains) Degree from a Top 5 university in Spain or a Top 200 global institution (STEM focus preferred) Strong Python and ML stack (TensorFlow, PyTorch, scikit-learn, etc.) Deep understanding of statistics, optimization, and time series Ability to thrive in a fast-paced, high-performance environment Nice to Have: Experience in quantitative finance More ❯

deployment, and dataset management. Master's in Computer Science/Engineering with 3-5 years of industry experience in deep learning or a PhD focused on ML.l Worked with TensorFlow, PyTorch). Preferred: Experience in robotics, medical devices, or regulated environments. Expertise in Python and C/C++ Real-time programming and embedded systems is a nice to have More ❯

software development experience using machine learning and software development technologies including Python language and OpenCV, performing Computer Vision or Imaging Processing, use of ML tools and libraries such as TensorFlow, PyTorch, or Scikit-learn, and Amazon WebServices and Azure cloud-based platforms; and Remote work available with monthly visits to Columbus office required. Email resume to More ❯

to work on site 5x a week in Charlotte, NC 3+ years' experience with NLP frameworks (spaCy, Transformers, NLTK) Proficiency in Python and ML libraries (scikit-learn, PyTorch/TensorFlow) Experience with intent classification, named entity recognition, and text parsing Understanding of optimization algorithms and constraint satisfaction problems Familiarity with API development and deployment (FastAPI, Flask) Experience translating business More ❯

who enjoys solving real business problems and seeing their work make a difference. What they're looking for: Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch A good understanding of the full ML lifecycle - from data wrangling to live deployment Comfortable working with both structured and unstructured datasets Ideally some experience deploying models More ❯

who enjoys solving real business problems and seeing their work make a difference. What they're looking for: Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch A good understanding of the full ML lifecycle - from data wrangling to live deployment Comfortable working with both structured and unstructured datasets Ideally some experience deploying models More ❯

processing actions, performing analysis, and assessing model performance. • Demonstrated professional or academic experience using Python or R. • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. (KEY EXPERIENCE FOR CUSTOMER) • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries. • Demonstrated More ❯

processing algorithms for enhanced visual performance and execution speed. Proposing, researching, and developing innovative algorithms relevant to the platform. Delivering high-quality, specification-compliant code. Utilizing tools like OpenCV, TensorFlow, and other computer vision libraries. Applying knowledge of machine learning algorithms and neural networks to enhance processing techniques. Producing high-quality design documentation that adheres to software standards for More ❯

substituted in lieu of degree. Experience in AI development and deployment. Experience with Python, Java, C++, R, or similar for AI development. Proficiency in machine learning frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills. Ability to communicate technical concepts to non-technical stakeholders. More ❯

Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case More ❯

Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case More ❯

in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic chemistry is a plus. Why More ❯

to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of machine learning fundamentals , including supervised/unsupervised learning. Experience with cloud environments – ideally Azure , but AWS or GCP also considered. Familiarity with LLMs , prompt engineering More ❯

decision tooling Ideal profile ️ 4+ years working with ML models in production ️ Strong Python skills (PyTorch, scikit-learn, XGBoost) and familiarity with ML Ops tooling (MLflow, W&B, Keras, Tensorflow) ️ Production-level engineering skills - Docker, CI/CD, Azure, SQL, model monitoring ️ Deep understanding of data reliability, explainability and model evaluation in noisy domains Interested? Apply today or call More ❯

to date with research and innovations in AI, ML, NLP, and generative models. What We’re Looking For: Strong proficiency in Python and experience with ML frameworks (e.g. PyTorch, TensorFlow). Solid understanding of machine learning fundamentals , including supervised/unsupervised learning. Experience with cloud environments – ideally Azure , but AWS or GCP also considered. Familiarity with LLMs , prompt engineering More ❯

research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline Why Join? Greenfield More ❯

research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline Why Join? Greenfield More ❯

features into existing products with the latest machine learning advancements. Requirements include strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential. More ❯

research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with common AI/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline Why Join? Greenfield More ❯

Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If you are interested in this Research Engineer position, please send a CV to ts More ❯

and ML techniques. Proven ability to extract insights from documents using tools like Apache Tika or PDFMiner. Proficiency in Python and/or R, with hands-on experience using TensorFlow, PyTorch, or similar frameworks. Ability to produce visualizations and qualitative analysis that clearly communicate technical insights. Comfort working with both structured and unstructured datasets in high-stakes environments. Bonus More ❯

Experience with object detection and image segmentation as well as understanding lighting systems for the purpose of high accuracy in low-light Skilled in Python and libraries such as TensorFlow, PyTorch, OpenCV Comfortable working independently and cross-functionally with hardware teams "Nice to haves" include multi-object tracking, noise reduction, ROS knowledge On offer : €75K base salary Share options More ❯

related to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

Maintenance Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer vision related products and services. Experience with visual processing libraries; OpenCV, TensorFlow, PyTorch etc. Experience operating as part of a multidisciplinary team Experience in developing/mentoring junior staff Experience developing and/or implementing reference architectures Benefits: Annual Company Bonus More ❯