476 to 500 of 2,019 TensorFlow Jobs

frameworks (LangChain, AutoGPT, or similar) Strong analytical skills and attention to detail Excellent communication skills and ability to explain complex AI concepts Preferred Qualifications Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face Background in developing multimodal AI solutions Knowledge of graph neural networks and their applications Experience with integrating various AI components into cohesive systems Familiarity with More ❯

Science, Robotics, Machine Learning, or related field Strong research background with publications at venues like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS, or similar Deep ML expertise in PyTorch or TensorFlow with experience in distributed training and optimisation Robotics learning experience with practical knowledge of reinforcement learning and/or imitation learning Production software skills with ability to build scalable More ❯

lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

Preferred Qualifications Master's degree in Computer Science, Data Science, Engineering, Math, Statistics, Operations Research or related field or equivalent experience 2+ years programming experience in Python, R, Julia, TensorFlow, CUDA, JavaScript, Scala, Java, Unix/Linux, C, C++ Proactive self-starter capable of finding and solving problems with little guidance Experience implementing and utilizing Generative AI (such as More ❯

tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing e.g. AWS, Azure Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new ideas and ML More ❯

or similar roles. Proven track record in designing and deploying scalable machine learning systems in production. Strong programming skills in Python and experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, Kubeflow, Jupyter, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink). Expertise in containerization (e.g., Docker, Kubernetes) and automation (e.g., Jenkins, GitLab CI). Excellent problem More ❯

or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to work effectively in cross-functional More ❯

or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to work effectively in cross-functional More ❯

employment options. Required: Demonstrated experience with Python, Jupyter demonstrated experience with Machine Learning, including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow Exposure to/understanding of network data analysis (IP traffic)using Bro/Zeek, TShark/PyShark, or other network analysis tools Desired: Demonstrated experience with one or more More ❯

PhD) in a relevant field 5+ years of hands-on experience in MLOps and Research Engineering Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring Prior commercial experience in designing More ❯

/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred. Strong analytical and statistical modeling skills. Experience with machine learning (Generative AI) frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex). Proven track record of applying data science to solve real-world problems. Excellent communication and collaboration skills. Why AI71: Proven performance of our More ❯

learning, deep learning, and natural language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed computing and ML infrastructure Excellent communication skills and ability to translate technical concepts to non-technical stakeholders Track record of publications or patents in More ❯

learning, deep learning, and natural language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed computing and ML infrastructure Excellent communication skills and ability to translate technical concepts to non-technical stakeholders Track record of publications or patents in More ❯

the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., MLflow, Airflow, Weights & Biases, or Kubeflow) Experience working with structured More ❯

the ML/AI ecosystem and bring fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., MLflow, Airflow, Weights & Biases, or Kubeflow) Experience working with structured More ❯

understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain, RAGAS and CI/CD You can demonstrate a growth mindset in terms of picking up new challenges and transforming More ❯

a similar role, with a focus on deploying and maintaining machine learning models in production environments. DESIRED SKILLS AND EXPERIENCE : Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Familiarity with serverless computing and event-driven architectures. Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana). Understanding of software development methodologies More ❯

a similar role, with a focus on deploying and maintaining machine learning models in production environments. DESIRED SKILLS AND EXPERIENCE : Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Familiarity with serverless computing and event-driven architectures. Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana). Understanding of software development methodologies More ❯

a similar role, with a focus on deploying and maintaining machine learning models in production environments. DESIRED SKILLS AND EXPERIENCE : Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Familiarity with serverless computing and event-driven architectures. Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana). Understanding of software development methodologies More ❯

a similar role, with a focus on deploying and maintaining machine learning models in production environments. DESIRED SKILLS AND EXPERIENCE : Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. Familiarity with serverless computing and event-driven architectures. Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana). Understanding of software development methodologies More ❯

4+ years of relevant industry experience. Strong expertise in deep learning, neural networks, and generative models (GANs, diffusion models). Practical experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow). Advanced programming skills in Python . Strong problem-solving, analytical, and communication skills. Demonstrated ability to work effectively in multidisciplinary, fast-paced, research-driven teams. Preferred Qualifications Experience More ❯

/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools More ❯