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 programmer
- Spend 30 hours per week for 6 months on developing yourself in your chosen field
- Working closely with your mentor on daily tasks
Min requirements:
- Enough time to spend at least 6 hours a day on education
- Highly motivated to develop skills and grow as a Machine Learning Engineer
- Technical 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 scripting
- Basic engineering skills in Python, experience with VCS (preferably Git)
- Basic understanding of Docker
- Basic knowledge of relational databases and DDL/DML syntax (e.g. MySQL)
- Basic understanding of Data Science and statistics concepts
- Intermediate English
Would be a plus:
- Experience with cloud services: GCP / Azure / AWS. Especially valuable if ML-services were used
- Proved experience in Python engineering
- Experience of using web frameworks (Flask, FastAPI, Django, Gunicorn)
- Experience of using Data Science tools and frameworks: Jupyter, Scikit-learn, Pandas, TensorFlow, Keras, PyTorch
- Experience of using BigData tools and frameworks: Spark (PySpark), Hadoop, Hive
- Knowledge of Java/Scala
- Understanding of machine learning lifecycle and experience with related tools (MLflow, DVC)
- Domain knowledge outside of computer science field
We offer:
- The duration of the internship is 6 months
- 6 working hours a day
- Compensation for the period of study
- Mentoring from professional specialists, development plan, monitoring of learning progress, technical assessment upon completion of training
- The best students will have the opportunity for further employment in the company
- Opportunity to participate in all activities of the company
- We provide all the necessary equipment
- Access to training platforms