Are you looking for a great opportunity to expand your skills and knowledge? Want to join a multinational company with interesting projects and learn from our professionals? If you are ready to start your career in IT, just show us your potential, and we will give you the experience!Responsibilities:Learning under the supervision of an experienced programmerSpend 30 hours per week for 6 months on developing yourself in your chosen fieldWorking closely with your mentor on daily tasksMin requirements:Enough time to spend at least 6 hours a day on educationHighly motivated to develop skills and grow as a Machine Learning EngineerTechnical education (BS or MS in technical field, may be currently pursuing the degree)Good knowledge of Computer Science fundamentals: Algorithms and Data Structures.Basic knowledge of Bash scriptingBasic engineering skills in Python, experience with VCS (preferably Git)Basic understanding of DockerBasic knowledge of relational databases and DDL/DML syntax (e.g. MySQL)Basic understanding of Data Science and statistics conceptsIntermediate EnglishWould be a plus:Experience with cloud services: GCP / Azure / AWS. Especially valuable if ML-services were usedProved experience in Python engineeringExperience of using web frameworks (Flask, FastAPI, Django, Gunicorn)Experience of using Data Science tools and frameworks: Jupyter, Scikit-learn, Pandas, TensorFlow, Keras, PyTorchExperience of using BigData tools and frameworks: Spark (PySpark), Hadoop, HiveKnowledge of Java/ScalaUnderstanding of machine learning lifecycle and experience with related tools (MLflow, DVC)Domain knowledge outside of computer science fieldWe offer:The duration of the internship is 6 months6 working hours a dayCompensation for the period of studyMentoring from professional specialists, development plan, monitoring of learning progress, technical assessment upon completion of trainingThe best students will have the opportunity for further employment in the companyOpportunity to participate in all activities of the companyWe provide all the necessary equipmentAccess to training platforms