ML Engineer (m/f/d) en hibrido.
About the Job
We re hiring ML Engineer 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
- A degree in computer science statistics mathematics or a related field is required. A master s degree in data science is a plus.
- Professional working experience in the field.
- Knowledge of machine learning algorithms and techniques.
- Working experience with LLMs and related 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
- Sponsored gym membership
- Digital vouchers for meals and (public) transport tickets
- Monthly company breakfast and lunch
- Free coffee water fresh fruits and snacks granola bar for breakfasts
machine learning,
