Junior AI/Data Scientist

As a Data Science professional at our company, you will be expected to have the following qualifications and experience: Role Overview: You should have at least 2 years of hands-on experience in Data Science. Your role will require a strong theoretical understanding of Data Science algorithms, deep learning frameworks, and statistical modeling techniques. Key Responsibilities: - Proficiency in programming languages such as Python is essential for this role. - Experience with popular ML libraries such as TensorFlow, PyTorch, or scikit-learn is required. - You should have hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks. A demonstrable portfolio of projects in this area will be beneficial. - A solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc., is expected. - Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow is preferred. Qualifications Required: - At least 2 years of hands-on experience in Data Science. - Strong theoretical understanding of Data Science algorithms, deep learning frameworks, and statistical modeling techniques. - Proficiency in programming languages such as Python. - Experience with popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. - Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks. - Solid understanding of natural language processing techniques. - Familiarity with computer vision concepts and frameworks like OpenCV or TensorFlow. As a Data Science professional at our company, you will be expected to have the following qualifications and experience: Role Overview: You should have at least 2 years of hands-on experience in Data Science. Your role will require a strong theoretical understanding of Data Science algorithms, deep learning frameworks, and statistical modeling techniques. Key Responsibilities: - Proficiency in programming languages such as Python is essential for this role. - Experience with popular ML libraries such as TensorFlow, PyTorch, or scikit-learn is required. - You should have hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks. A demonstrable portfolio of projects in this area will be beneficial. - A solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc., is expected. - Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow is preferred. Qualifications Required: - At least 2 years of hands-on experience in Data Science. - Strong theoretical understanding of Data Science algorithms, deep learning frameworks, and statistical modeling techniques. - Proficiency in programming languages such as Python. - Experience with popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. - Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks. - Solid understanding of natural language processing techniques. - Familiarity with computer vision concepts and frameworks like OpenCV or TensorFlow.