Data Scientist
2 weeks ago
Job Description :
Skills and Qualifications :
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- Proven experience as an AI Engineer, Data Scientist, or AI Researcher with hands-on experience in AI model development and deployment.
- Strong programming skills in languages such as Python, R, Java, or C++, with proficiency in AI frameworks (TensorFlow, PyTorch, scikit-learn) and libraries for data manipulation and analysis.
- In-depth knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning architectures (CNNs, RNNs, GANs), and NLP techniques.
- Experience with cloud platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark), and distributed computing frameworks for AI model training and deployment.
- Familiarity with software development methodologies (Agile, Scrum), version control systems (Git), and DevOps practices for AI model lifecycle management.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into AI solutions and actionable insights.
- Excellent communication, collaboration, and presentation skills, with the ability to explain complex AI concepts to non-technical stakeholders.
Preferred Qualifications :
- Research publications, patents, or contributions to AI/ML communities and open-source projects.
- Experience in domain-specific AI applications such as healthcare, finance, robotics, autonomous systems, or natural language understanding.
- Certifications in AI/ML technologies (e.g., TensorFlow Developer, AWS Certified Machine Learning Specialty).
- Knowledge of ethical AI principles, data privacy regulations, and responsible AI practices.
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