4 дня назад
Senior Data Scientist (AI)
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
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Описание вакансии
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TL;DR
Senior Data Scientist (AI): Developing and deploying scalable machine learning and deep learning models for AI research at the Institute of Smart Systems and Artificial Intelligence with an accent on NLP, computer vision, exploratory data analysis, and interdisciplinary collaboration. Focus on leading research teams, evaluating model performance, publishing findings, and translating complex AI concepts into practical solutions.
Location: Onsite in Astana, Kazakhstan, at 53 Kabanbay Batyr Avenue
Company
The Institute of Smart Systems and Artificial Intelligence conducts AI research and supports innovation and collaboration across education, industry, and government in Kazakhstan.
What you will do
- Develop, apply, and deploy scalable machine learning and deep learning models and algorithms.
- Lead, mentor, and manage data scientists and researchers delivering AI projects.
- Conduct exploratory data analysis, evaluate model performance, and prepare technical reports.
- Author research publications and present findings at conferences and workshops.
- Collaborate with interdisciplinary teams, universities, external organizations, and research consortia.
- Contribute to research proposals, funding and accreditation applications, knowledge transfer, and risk management.
Requirements
- Higher professional education in Computer Science, Artificial Intelligence, Mathematics, Robotics, or an equivalent field.
- At least 5 years of professional experience; the posting also indicates a preferred experience range of 1–3 years.
- PhD in Computer Science, Machine Learning, or an equivalent field is preferred.
- Experience developing machine learning, deep learning, artificial intelligence algorithms, and models.
- Knowledge of Linux, development in the Linux environment, data collection, cleaning, and preprocessing.
- Fluent English, Kazakh, and Russian; strong programming and communication skills.
Nice to have
- Expertise in natural language processing and/or computer vision.
- Higher education completed in an institution where English was the language of instruction.
- Experience with MS Office, Excel, and PowerPoint.
Culture & Benefits
- Research-focused environment centered on artificial intelligence and digital innovation.
- Collaboration with national and international partners in education, industry, and government.
- Opportunities to contribute to national AI capacity and digital ecosystem development.
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