Are you passionate about building scalable machine learning platforms that power future experiences? Then this Machine Learning Engineer position might be exactly what you're looking for.
Come join the Engineering team at MapsPeople and become an integral player in developing our next generation digital building platform. You will be instrumental in scaling our ML infrastructure that enables us to deliver new intelligent features and experiences to our customers. This is an opportunity to shape how we leverage machine learning to revolutionize spatial intelligence.
The Engineering team is a creative group of problem-solving developers who thrive on technical challenges and believe in building future-proof solutions. We understand that the best platforms are built through extendable architecture, scalable infrastructure, and close collaboration between teams.
What will you do:
- Drive experimentation while maintaining focus on business-critical outcomes
- Design and implement machine learning models that enhance our indoor mapping solutions
- Set up and manage cloud-based services and APls for our ML infrastructure
- Lead external annotation teams and coordinate data labeling efforts
- Scale our ML capabilities and lay the groundwork for future team expansion
- Develop and maintain rule-based systems that complement our machine learning models
We imagine you come with:
- 3-5 years of experience implementing machine learning solutions in production environments
- Proven track record of balancing rapid experimentation with production-quality code
- Strategic thinking that aligns ML initiatives with business objectives
- Strong Python programming skills with focus on ML and data science applications
- Expertise in image processing and computer vision machine learning
- Proficiency in PyTorch or TensorFlow, and Jupyter Notebooks
- Experience with cloud platforms (preferably GCP) and API development
- Strong communication skills, particularly in conveying technical concepts
What you get:
- An opportunity to play a crucial role in shaping our ML strategy
- Responsibility, tasks and coaching to grow and develop your career
- A diverse international environment and social events across teams and departments
- A collaborative and evolving work environment with a high team spirit
- Great office location in the North of Bucharest (Charles de Gaulle Plaza)
- Travelling opportunities
- Private healthcare subscription
- Food tickets
- Flexible working hours & hybrid way of working
Website: www.mapspeople.com
YouTube Channel: www.youtube.com/@MapsPeople
The Engineering team is a creative group of problem-solving developers who thrive on technical challenges and believe in building future-proof solutions. We understand that the best platforms are built through extendable architecture, scalable infrastructure, and close collaboration between teams.
What will you do:
- Drive experimentation while maintaining focus on business-critical outcomes
- Design and implement machine learning models that enhance our indoor mapping solutions
- Set up and manage cloud-based services and APls for our ML infrastructure
- Lead external annotation teams and coordinate data labeling efforts
- Scale our ML capabilities and lay the groundwork for future team expansion
- Develop and maintain rule-based systems that complement our machine learning models
We imagine you come with:
- 3-5 years of experience implementing machine learning solutions in production environments
- Proven track record of balancing rapid experimentation with production-quality code
- Strategic thinking that aligns ML initiatives with business objectives
- Strong Python programming skills with focus on ML and data science applications
- Expertise in image processing and computer vision machine learning
- Proficiency in PyTorch or TensorFlow, and Jupyter Notebooks
- Experience with cloud platforms (preferably GCP) and API development
- Strong communication skills, particularly in conveying technical concepts
MapsPeople is a Danish company specializing in indoor mapping solutions designed to enhance navigation and spatial awareness within complex indoor environments. Founded in 1997 and headquartered in Nørresundby, Denmark, MapsPeople has established itself as a leader in the indoor navigation industry, serving a diverse range of sectors including corporate offices, healthcare facilities, educational institutions, airports, and stadiums.
