dHired
English

Job search

6 jobs matched
Edit filter

Must-have:
  • 5+ years of experience in professional software development;
  • 1+ year of experience in leading a team;
  • Experience using ES6+, ReactJS, React Native, Node.js;
  • Familiar with state/data management libraries (redux/mobx);
  • Deep knowledge of the latest JS standards;
  • A sense of urgency and ownership over the product;
  • Curiosity, self-driven and passionate attitude;
  • At least Upper-intermediate English level.

Must-have:
  • Extensive experience in Front-End development using modern frameworks (focus on Vue).
  • Deep knowledge of Javascript and CSS fundamentals and standards.
  • 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:
  • 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:
  • 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).

Must-have:
  • React JS, ES6+, nodeJS, SCSS, JSX, Webpack, Gulp, Redux, ExpressJS.
  • Responsive Web Design, Cross-Browser and Cross-Device Compatibility.
  • Understanding of HTTP-protocol.
  • Git.
  • Experience of code coverage with tests.

Must-have:
  • General knowledge of SQL.
  • Advanced proficiency in Python programming language.
  • Strong background in math, linear algebra and statistics. Solid knowledge of algorithms, data structures and algorithmic complexity.
  • Expertise in machine learning. Proven hands-on experience and familiarity with theoretical concepts of common machine learning methods and algorithms.
  • Familiarity with Python numerical operations, data structures, machine learning and visualization libraries: numpy, pandas, sklearn, matplotlib, jupyter.
  • Solid understanding of model tuning and evaluation, ability to implement complete machine learning pipelines.
  • Theoretical knowledge and experience at least in one of the areas: Natural Language Processing, Computer Vision, Deep Learning, Look-alike Modeling, Recommendation Systems, Anomaly Detection.
  • Problem-solving skills, ability to do research tasks.
  • Ability to work with different data types and formats. Data preprocessing, cleaning, feature design and generation skills.
  • Ability to document properly systems functionality, code and methodology
  • Good presentational and visualization skills. Ability to describe and present results clearly, answer questions and communicate issues.
Page 1