Вакансия Lead AI Architect

4 вакансии
Специализация: Data Science
Уровень: Team Lead
Опыт: Более 5 лет
Уровень английского: Intermediate
Зарплата: от $7000
Область деятельности: AI
Город: Минск
Режим работы: Полный день
Размер команды: 3—5
Размер компании: 4
Возможна удалённая работа: Да

The information technology landscape has probably seen more change in the past five years than in the previous twenty, and the pace is only accelerating. If you’re looking for a career on the cutting edge of modern technologies and want to accumulate skills for the age of disruption, we offer very competitive compensation and benefits to qualified candidates.

We are an aggressive startup, offering both product and services centered on artificial intelligence and machine learning for logistics, industrial automation, fintech and healthtech. Great opportunity to work at the forefront of AI in engineering world-disrupting products. Our team is looking for aspiring individuals who love to explore, develop and contribute to cutting-edge AI technologies.

The position of team lead assumes simultaneous heavy hands-on development and team management. The team lead reports directly to the CTO and leads day-to-day development effort.


  • 5+ years of software development, 3+ years of AI/ML experience (development and deployment of ML models in real-world scenarios)
  • Expert knowledge of general software development: OO design, data structures, algorithms, design patterns.
  • Lead/PM skills: teamwork, complexity analysis and estimation, coding standards, code reviews, best practices, source control management, etc.
  • Knowledge of the best professional practices for the complete software development lifecycle.

We expect experience in several of the following:

Frameworks and technologies: Tensorflow, Keras, TensorFlow Probability, PlaidML, Infer.NET, MXNet, PyTorch, Flux, Spark, Cassandra, Elasticsearch, MongoDB.

Cloud services and technologies: Amazon SageMaker, Lambda, DynamoDB; Azure Cognitive Services.

Languages: Python, R, C#, Swift.

ML specifics: deep learning and other AI subsets, Bayesian networks and inference, training and tuning neural networks, classificators, signal processing, NLP, computer vision.

Background: probability theory, statistics, graph theory, MATLAB.

Remote work: flexible working hours, flexible location, and flexible time zone. Usual benefits and more. Possible stock options.

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