About the Job

We’re hiring ML Engineer Intern to join our awesome and growing team. In this role, you will have the privilege of working on innovative projects in machine learning, utilising your expertise to develop impactful solutions. From conceptualisation to execution, you will play a pivotal role in leading and contributing to comprehensive projects.

• Collect raw data from various sources such as databases, APIs, and data streams, ensuring accuracy and consistency through thorough cleaning.
• Design/Develop/Integrate practical machine learning (ML) solutions across different industries and use cases to create robust ML systems.
• Conduct machine learning tests and experiments.
• Work closely with cross-functional teams (engineers, managers) to understand business requirements and develop data-driven solutions.
• Stay updated with the latest developments in data science and machine learning.
• Participate in agile SCRUM teams for tool and prototype development.

About the job:

• Studying a degree in computer science, statistics, mathematics, or a related field is required. If you are enrolled in a master’s degree in data science is a plus.
• 1 year of professional working experience in the field is a plus.
• Knowledge of machine learning algorithms and techniques.
• Strong analytical and problem-solving skills and attention to detail.
• Excellent communication in English and interpersonal skills.
• Ability to work effectively both independently and as part of a team.
• Software skills are highly desirable.

Benefits:

• Competitive salary
• Flexible work schedule and remote work options
• +2 days extra off (Christmas and NYE)
• Travel budget to explore Munich and/or Barcelona
• Company-sponsored social events, (e.g., team-retreats in Mallorca, Italy) and team-building activities (e.g., yearly Christmas hackathon)
• Opportunities for growth and advancement within MVST (e.g., €1.500 on top, sponsored Udemy courses)
• Free language courses
• Home office budget
• Monthly company breakfast and lunch
• Free coffee, water, fresh fruits and snacks, granola bar for breakfasts

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