Machine Learning Engineer Internship Opportunity for Career Growth

2 dni temu


al Maja Kraków, Polska Grid Dynamics Poland Pełny etat
About Grid Dynamics Poland

We are a multinational company with interesting projects and a passion for innovation. We believe in the power of collaboration and knowledge-sharing, and we're committed to helping our interns develop their skills and advance their careers.

Job Description

This internship is designed to provide you with hands-on experience in machine learning engineering, working closely with experienced professionals and mentors who will guide you throughout your journey.

Responsibilities:
  • You will learn under the supervision of an experienced programmer, developing your skills and knowledge in machine learning engineering.
  • Spend 30 hours per week for 6 months on developing yourself in your chosen field, with regular check-ins and progress monitoring.
  • Work closely with your mentor on daily tasks, gaining practical experience and insights into real-world projects.
Requirements:

To be considered for this internship, you should have:

Basic Qualifications:
  • A strong foundation in computer science fundamentals, including algorithms and data structures.
  • Basic knowledge of Python programming language, experience with version control systems (VCS) like Git, and basic understanding of Docker.
  • Good knowledge of relational databases and DDL/DML syntax (e.g., MySQL).
  • Intermediate English proficiency.
Desirable Skills:
  • Experience with cloud services: GCP/Azure/AWS, especially valuable if ML-services were used.
  • Proven experience in Python engineering, web frameworks (Flask/FastAPI/Django/Gunicorn), and Data Science tools (Jupyter/Scikit-learn/Pandas/TensorFlow/Keras/PyTorch).
  • BigData tools and frameworks: Spark (PySpark)/Hadoop/Hive, knowledge of Java/Scala, and understanding of machine learning lifecycle.
What We Offer

As an intern at Grid Dynamics Poland, you can expect:

Benefits:
  • The duration of the internship is 6 months, with a flexible schedule allowing for up to 6 working hours a day.
  • Compensation for the period of study, enabling you to focus on your development.
  • Mentoring from professional specialists, a development plan, and regular progress monitoring to ensure you're on track.
  • Technical assessment upon completion of training, providing a clear evaluation of your skills and knowledge.
  • The best students will have the opportunity for further employment in the company, offering a direct path to a full-time position.
  • Access to all company activities, allowing you to network and gain insights into various projects and teams.
  • We provide all necessary equipment, ensuring you have everything you need to succeed.


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