Job Description
Qualifications and Skills:
Bachelor's degree in Applied Statistics, Computer Science, or a related field (minimum 5 years of relevant working experience for senior roles).
Strong mathematical, statistical, or actuarial background.
Expertise in AI and data science, including:
Machine learning algorithms (supervised and unsupervised)
Deep learning frameworks (TensorFlow, PyTorch)
Natural Language Processing (NLP) techniques
Generative AI models (including GANs)
Computer vision (image processing, object detection, classification)
Programming proficiency in Python for AI and data science tasks.
Experience with big data platforms (Hadoop, Spark, etc.) and data visualization tools (Tableau, PowerBI).
Excellent communication and interpersonal skills to effectively collaborate with internal and external stakeholders.
Passion for continuous learning and staying current on emerging trends in AI and data science technologies.
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Bachelor's degree in Applied Statistics, Computer Science, or a related field (minimum 5 years of relevant working experience for senior roles).
Strong mathematical, statistical, or actuarial background.
Expertise in AI and data science, including:
Machine learning algorithms (supervised and unsupervised)
Deep learning frameworks (TensorFlow, PyTorch)
Natural Language Processing (NLP) techniques
Generative AI models (including GANs)
Computer vision (image processing, object detection, classification)
Programming proficiency in Python for AI and data science tasks.
Experience with big data platforms (Hadoop, Spark, etc.) and data visualization tools (Tableau, PowerBI).
Excellent communication and interpersonal skills to effectively collaborate with internal and external stakeholders.
Passion for continuous learning and staying current on emerging trends in AI and data science technologies.
Show more Show less
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