Expert in data analytics, Big Data and AI (course teacher)

- Higher education in information technology, data analysis, applied mathematics, computer science or related fields, or international certifications in Data Analytics, Big Data, Machine Learning and Generative AI (NVIDIA, Google, AWS, Microsoft, Databricks, DeepLearning.AI , Anthropic, OpenAI or similar).

- Practical work experience in the field of data analytics, Big Data, Data Science or Machine Learning for at least 5 years.

- Experience in implementing data analysis, ML and AI projects using AWS, Microsoft Azure, Google Cloud Platform or similar technologies.

- Proficiency in Python (Pandas, NumPy, Scikit-learn, Jupyter Notebook), SQL, and modern data analysis tools.

- Practical experience working with Big Data technologies (Apache Spark, Hadoop, Hive, Databricks or similar).

- Experience in building analytical models, visualizing data, and developing machine learning-based solutions.

- Practical experience in using modern AI tools and generative AI to automate analytical processes.

- At least 1 year of experience in the development and implementation of educational programs in the field of data analytics, Big Data, ML or AI.

- At least 1 year of training experience for employees of government agencies, the corporate sector, educational organizations or students.

- Experience in conducting workshops, intensive courses, professional development programs or corporate training.

- The advantage will be: presentations at international conferences on AI/Data Science/ML/Big Data; availability of publications in international scientific journals or peer-reviewed publications in the fields of Data Science, ML or AI.

- Project support skills, project expert assessment and technical mentoring.

- Course preparation: adaptation of the curriculum, development of laboratory work, practical cases, datasets and methodological materials.

- Conducting training: face-to-face, online, and hybrid classes in Python, SQL, data analytics, Big Data, machine learning, and modern AI tools.

- Practical training: training in working with Pandas, SQL, Jupyter Notebook, data visualization, data processing, building analytical models and automating analytical processes.

- Big Data and AI: training in modern big data processing technologies, the use of cloud platforms, generative AI and AI tools for solving applied problems.

- Project activity: support of participants in the implementation of practical tasks and the development of individual or team projects using the best practices of data analysis, ML and AI.

- Expert assessment: defending final projects, evaluating learning outcomes, expert feedback, and preparing final reporting materials.

- Competitive wages.

- Flexible combined work format.

- Modern office in Aqmola Hub.

- The opportunity to participate in the implementation of educational programs in the field of data analytics, Big Data, Machine Learning and artificial intelligence.

- Work with leading industry experts, a strong professional community, and participate in the development of the region's AI ecosystem.