11 of 11 NLTK Jobs

languages, especially for multi-lingual NLP applications. Technical Skills: Good knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Good knowledge of libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in More ❯

in multiple languages, especially for multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in More ❯

in multiple languages, especially for multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in More ❯

languages, especially for multi-lingual NLP applications. Technical Skills: Good knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Good knowledge of libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in More ❯

in multiple languages, especially for multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in More ❯

in multiple languages, especially for multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in More ❯

in multiple languages, especially for multi-lingual NLP applications. Technical Skills: Knowledge of tools like Dialogflow, Microsoft Bot Framework, Rasa, and Amazon Lex. Knowledge with libraries such as spaCy, NLTK, and Hugging Face Transformers. Practical experience with Python, REST APIs, and dialog model training data preparation. Excellent ability to present complex AI concepts clearly and engagingly. Problem-solving: Skilled in More ❯

visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated experience using Natural Language Processing tools such as spaCy, NLTK, Stanford CoreNLP, or Gensim Natural Language Processing Demonstrated experience in Agile software development teams using scrum techniques Demonstrated experience using Jira, Confluence, and GitHub for documenting work More ❯

Google Cloud, Azure. Proprietary ModelslikeGPT-4 and Claude, Open-source Models like Llama and Mistral, able to deliver high-performing, scalable, and cost-efficient AI solutions. NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers to create sophisticated natural language processing solutions. TECHNICAL SKILLS: AZURE IS A MUST HAVE Methodologies: Spiral, Agile, Waterfall, Lean. Programming Language … C++, Python, Shell, SQL, R. IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat. ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain, llama-index,kore.ai. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers. BERT, T5, Sentence Transformers, Foundational models. Packages: Pandas, NumPy, Spark, Matplotlib, SciPy. Cloud Technologies More ❯

Developer for our direct client Position in Lansing, MI. Top Skills & Years of Experience: 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. 3+ years in microservices. 3+years in SpaCy, NLTK, or Hugging Face's 3+years in Tesseract, Google Vision API, or AWS Textract. 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools 3+years … machine learning solutions. • Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. • Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing. • Knowledge of NLP concepts like intent recognition, entity extraction, and context management. • Strong understanding of neural networks, computer vision, natural … Strong problem-solving and analytical skills with a focus on continuous improvement. Skill Descriptions • 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. • 3+ years in microservices. • 3+years in SpaCy, NLTK, or Hugging Face's • 3+years in Tesseract, Google Vision API, or AWS Textract. • 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools • 3+years More ❯

machine learning solutions. Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Faces Transformers for text-based document processing. Knowledge of NLP concepts like intent recognition, entity extraction, and context management. Strong understanding of neural networks, computer vision, natural language … Strong problem-solving and analytical skills with a focus on continuous improvement. Skills Description: 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. 3+ years in microservices. 3+years in SpaCy, NLTK, or Hugging Faces 3+years in Tesseract, Google Vision API, or AWS Textract. 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools 3+years in More ❯