51 to 75 of 859 TensorFlow Jobs

MLOps, DevOps, or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration More ❯

MLOps, DevOps, or ML Engineering roles Proven expertise deploying and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration More ❯

or equivalent fields Strong mathematical background (linear algebra, calculus, probability & statistics) Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience with modern software development tools and practices (Git, pull requests) Experience analyzing model More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use More ❯

in Machine Learning, Deep Learning, and NLP Experience with transformer models (BERT, GPT, LLaMA, etc.) Proficiency in SQL, Python and ML libraries such as TensorFlow, PyTorch, Hugging Face, and Scikit-Learn Expertise in personalisation techniques (recommendation systems, user segmentation, dynamic pricing) Experience working with sensitive and business critical data More ❯

collaborative mindset. Highly Desirable/Additional Skills: Experience integrating Large Language Models and developing conversational AI solutions. Familiarity with deep learning libraries (Keras, PyTorch, TensorFlow) Experience with data processing tools (Pyspark, Hive) and databases (MongoDB, SQL, NoSQL) NLP expertise (nltk, SpaCy), especially with unstructured financial data. Understanding of financial More ❯

LLMs to solve business problems, solid understanding of Gen AI design paradigms and best practices Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Transformers Familiarity with cloud platforms (AWS) and containerization technologies (Docker) Excellent problem-solving skills, ability to work independently and in a team More ❯

as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction. Demonstrated More ❯

health care, etc Experience in using ML tools such as Mlflow for model lifecycle management Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn Familiarity with timely engineering and large language models (LLM) is a plus Proficiency in multiple programming languages Understanding of containerization More ❯

e.g. Natural Language Processing, Computer Vision) and expert knowledge in statistics. You are proficient in the Python Machine Learning stack (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), have extensive experience in software development and are skilled with various database systems (relational/NoSQL). You are experienced in delivering More ❯

techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, Pytorch, scikit-learn, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. More ❯

techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they More ❯

ML practices, including experience with model deployment, monitoring, and lifecycle management. Experience with tools and frameworks for AI/ML such as MLflow, pytorch, tensorflow, or similar frameworks/tools. Strong problem-solving skills with the ability to address complex technical challenges effectively. Excellent verbal and written communication skills More ❯

transformer architecture and retrieval augmented generation. Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn. Knowledge of and experience working with open-source AI models. Demonstrated ability to perform the essential duties of the position with More ❯

transformer architecture and retrieval augmented generation. Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn. Knowledge of and experience working with open-source AI models. Demonstrated ability to perform the essential duties of the position with More ❯

testing, code reviews, CI/CD) in languages such as Python (and/or Java, C++). Experience with machine learning frameworks such as TensorFlow or PyTorch applied in both model development and system integration. Knowledge & Skills End-to-end full-stack expertise - Experience building APIs and user interfaces More ❯

Airflow, and/or Prefect Experience applying supervised and unsupervised machine learning techniques to real-world problems Proficient with machine learning libraries such as TensorFlow, PyTorch, and Scikit-Learn Familiarity with neural network architectures for sequence modeling (LSTM-RNN, Transformers), classification (CNN), and data generation (GANs) Experience with cloud More ❯

of power system fundamentals, including power flow, optimal power flow (OPF), and common operational challenges. Experience with machine learning models using frameworks, such as TensorFlow or Jax. Proficiency in Python Experience using commercial or open-source optimization solvers, such as Gurobi, CPLEX, IPOPT, or similar. A strong interest in More ❯