We are seeking a highly skilled and motivated Data Scientist specializing in AI and Machine Learning to join our dynamic team. As a Data Scientist at [Company Name], you will be responsible for leveraging advanced analytical techniques to extract insights from complex data sets and develop innovative AI and machine learning solutions to solve challenging business problems.

- Utilize statistical analysis, machine learning, and deep learning techniques to analyse large datasets and extract meaningful insights.

- Design, develop, and implement predictive models and algorithms to drive actionable insights and optimize business processes.

- Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging AI and machine learning.

- Develop and deploy scalable machine learning pipelines and workflows to production environments.

- Evaluate and experiment with new technologies and techniques to enhance predictive accuracy and model performance.

- Communicate findings and insights to technical and non-technical stakeholders through clear and compelling data visualizations, reports, and presentations.

- Master's degree or higher in Computer Science, Statistics, Mathematics, or a related field.

- Proven experience working as a Data Scientist or Machine Learning Engineer, preferably in a fast-paced environment.

- Strong proficiency in programming languages such as Python, R, or Scala.

- Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.

- Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

- Experience with big data technologies and tools such as Hadoop, Spark, etc.

- Excellent problem-solving skills and ability to think creatively to develop innovative solutions.

- Strong communication and collaboration skills with the ability to work effectively in a team environment.

- PhD in Computer Science, Statistics, Mathematics, or a related field.

- Experience with natural language processing (NLP), computer vision, or other AI domains.

- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

- Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects, etc.).