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Must-have:
  • 2+ years of technical recruiting experience including full life cycle.
  • Skills in candidate search and selections (X-Ray, LinkedIn, social networks, etc).
  • Great written and spoken English communication skills.
  • Demonstrated track record of excellence in sourcing and assessing technical talent.
  • Excellent communication skills.
  • High independence and ability to take ownership over the process.
  • Proven relationship management experience with hiring teams and business partners, helping them navigate the sources of talent and assisting them with the assessment.
  • A genuine interest in technology as shown by continuous learning throughout your career.
Must-have:
  • “Getting-things-done” mindset and ability to efficiently communicate your thoughts to the team.
  • Track record of delivering customer-facing features in large-scale production systems.
  • Experience writing multi-component systems requiring efficient inter-application communication.
  • Proficiency in Python.
  • Great understanding of Cloud-native technologies, such as Docker, Kubernetes, CI/CD systems. Experience with public clouds and DevOps automation.
  • At least the Upper-Intermediate level of English.
Must-have:
  • Experience in Front-End (HTML, CSS, JavaScript);
  • Experience in React;
  • Experience in TypeScript;
  • Ability to use GIT;
  • Ability to work in flexible development methodologies;
  • Good knowledge of algorithms and data structures;
  • Skills of system development;
  • Interest in Blockchain.
Must-have:
  • Extensive experience in Front-End development using modern frameworks (React, Vue).
  • Deep knowledge of Javascript and CSS fundamentals and standards.
  • Team leadership experience.
  • Readiness to work on an opensource project.
  • Enthusiasm for learning emerging technologies.
  • Excellent soft skills, willing to be a part of the advanced team.
  • At least Upper-intermediate English level.
Must-have:
  • 1.5+ years of hands-on experience in Scala development;
  • Akka toolkit (Actors, Streams, HTTP);
  • Knowledge of functional programming, Client-Server architecture, REST APIs, Websocket;
  • Proven experience with SQL databases;
  • Experience with Google Cloud Platform;
  • Strong knowledge of testing frameworks;
  • Experience with SBT, Git, Docker, Kubernetes;
  • At least Upper-Intermediate English level.
Must-have:
  • 2+ years of experience in building mobile apps using React Native;
  • Knowledge of functional programming, Client-Server architecture, REST APIs, Websocket;
  • Hands-on experience with Google Firebase;
  • Experience with testing frameworks;
  • Experience with Android Studio, Xcode, Git;
  • At least Upper-Intermediate English level.
Must-have:
  • 1-3 years of hands-on experience in Scala development.
  • Understanding of functional and OOP designs.
  • Working experience with PostgreSQL.
  • Strong knowledge of Akka Actors, Akka Http, and Akka Streams libraries.
  • Understanding of REST API concepts.
  • At least Intermediate English level.
Must-have:
  • Able to code in Scala.
  • Understanding ELT design, implementation and maintenance.
  • Able to communicate complex concepts clearly and accurately.
  • Willingness to learn new technologies, tools and approaches to problem-solving.
  • Responsible for own work and able to solve problems independently.
Must-have:
  • 2+ years of practice in the Machine Learning / Deep Learning field.
  • Hands-on experience with AI frameworks such as Tensorflow, PyTorch, etc.
  • Excellent interpersonal skills, cross-group, and cross-culture collaboration.
  • Proven ability to develop original ideas.
  • At least Upper-Intermediate English level.
  • Experience with OpenAI Gym.
  • Deep understanding of RL techniques.
Must-have:
  • 4+ years of experience as ML Engineer with data driven projects. Deep understanding and practical experience with Big Data Stack (Apache or Amazon).
  • Deep knowledge of statistics, probability theory and ML.
  • Practical experience with Python (NumPy, Pandas, Matplotlib, Networkx package, Scikit-Learn).
  • Practical experience with DL modelling using relevant frameworks (TensorFlow,PyTorch, Keras).
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