Search Results: 9 vacancies
...Ensemble, Logistic Regression, Random Forest etc.)
~Specializes in at least one of the AI/ML stack, Frameworks, and tools like MxNET and Tensorflow.
~Hands-on experience with data analytics and classical machine learning, deep learning tools (e.g. Pandas, NumPy, Scikit-learn)...
...experience in MLOps and ML model deployment pipelines.
Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc.
Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment
Experience with data...
...or Tableau- Proficiency in programming languages such as Python, R, or Scala. - Strong experience with libraries and frameworks like TensorFlow, PyTorch, scikit-learn, etc.- In-depth knowledge of various machine learning techniques, including supervised and unsupervised...
...Design, develop, and deploy machine learning models and algorithms using various programming languages and frameworks, such as Python, TensorFlow, Keras, PyTorch, and spaCy.
Utilize spaCy for natural language processing tasks such as text preprocessing, entity recognition, and...
...candidates will have expertise in IOS or cross-platform development, coupled with a strong foundation in machine learning frameworks like TensorFlow Lite.
Hands-on experience in deploying machine learning models on mobile devices is essential. If you’re passionate about pushing...
...NLP.
• Strong proficiency in programming languages such as Python, along with experience using machine learning frameworks such as TensorFlow, PyTorch, or similar.
• In-depth understanding of deep learning architectures and techniques, including convolutional neural networks...
...at least) and have extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL.
~ You are comfortable with one of the many BI tools such as Tableau, Power BI, Looker.
~You have working...
...unsupervised learning, deep learning)
~ Proficiency in Python
~ Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
~ Strong understanding of machine learning algorithms and techniques, as well as LLM architecture and functionalities...
...NLP.
• Strong proficiency in programming languages such as Python, along with experience using machine learning frameworks such as TensorFlow, PyTorch, or similar.
• In-depth understanding of deep learning architectures and techniques, including convolutional neural networks...
