We are looking for a talented developer passionate about data science and machine learning to join our ML team. The team is responsible for automatization of some critical business processes within the company. The challenge we are facing is collection and classification of big data, for that an expert system for data analysis was developed and needs further refinement.
•Develop and support API web service;
•Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture;
•Understand business objectives and develop models that help to achieve them, along with metrics to track their progress;
•Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability;
•Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world;
•Verify data quality, and/or ensuring it via data cleaning;
•Define validation strategies;
•Define the pre-processing or feature engineering to be done on a given dataset;
•Train models and tune their hyper-parameters;
•Analyze the errors of the model and design strategies to overcome them;
•Prepare models for production environment;
•Research and implement best practices to improve the existing machine learning infrastructure.
•Good knowledge of the OOP principles;
•Demonstrable experience working with the following technologies: Linux, Bash, SQL, REST, JSON, HTTP;
•Git experience and associated workflows;
•Familiarity with TDD and BDD programming styles;
•Proficiency with a deep learning framework such as TensorFlow or Keras;
•Expertise in visualizing and manipulating big datasets;
•Understanding of data structures, data modeling and software architecture;
•Experience in statistical and data mining techniques (like boosting, generalized linear models/regression, random forests, trees, and social network analysis);
•Good spoken/written English;
•Outstanding analytical and problem-solving skills;
•Good communication skills and ability to work in a team.
Nice to have:
•Knowledge of Docker and other orchestration tools;
•Python and basic libraries for machine learning such as scikit-learn and pandas;
•Experience with OpenCV;
•Ability to select hardware to run an ML model with the required latency;
•Good knowledge of math, probability, statistics and algorithms;
•Experience working with machine learning techniques such as artificial neural networks, clustering, and decision tree learning;
•Experience working with distributed data and computing tools like Hadoop, Hive, Gurobi, Map/Reduce, MySQL, and Spark.
•An experience-based competitive salary;
•Regular revisions of the remuneration amount;
•A referral bonus for proposing potential candidates;
•The possibility to flexibly organize your working hours within a full-time, Monday - Friday work schedule;
•Boundary-free and direct interaction with product owner;
•Work in an international environment within a professional and talented team;
•Training policy covering a wide variety of professional, as well as non-work-related training needs;
•Inviting work conditions, with a cozy relaxation area, playroom, and a diverse library;
•Freshly brewed coffee by our skilled barista in our very own bar;
•Regular corporate events, team buildings, and company-wide social gatherings.
Our company offers a wide range of vacancies for all levels of seniority to ensure the possibility to migrate to other positions or into other projects.
If you are interested please send your English CV, marked with the job code PA-RA, to: email@example.com
Please visit workwithus.developmentaid.org for more information.
DevelopmentAid is an international organization that connects individual consultants, worldwide organizations, information, and ideas to make international development better. Our team consists of 200 innovative and passionate people: analysts, programmers, QA engineers, designers, marketers, career advisors, recruiters, and business ...
- Образование: ВУЗ
- Опыт работы: 1 - 3 года
- Зарплата: Договорный
- График работы: Полный
- E-mail: firstname.lastname@example.org
Скачать пример или читайте несколько советов, как правильно составить резюме на работу