Principal Machine Learning Engineer leading AI and Machine Learning systems at Bumble for recommendations and personalization. Driving improvements in user engagement and safety across Bumble products.
About the role
- Associate AI/ML Engineer developing visibility-driven recommendation systems at Maersk. Supporting strategic decision-making and enhancing supply chain execution with AI/ML technologies.
Responsibilities
- Build and maintain machine learning models for various applications, such as natural language processing, computer vision, and recommendation systems
- Perform exploratory data analysis (EDA) to identify patterns and trends in data
- Clean, preprocess, perform hyperparameter tuning and analyze large datasets to prepare them for AI/ML model training
- Build, test, and optimize machine learning models and experiment with algorithms and frameworks to improve model performance
- Use programming languages, machine learning frameworks and libraries, algorithms, data structures, statistics and databases to optimize and fine-tune machine learning models to ensure scalability and efficiency
- Learn to define user requirements and align solutions with business needs
- Work on AI/ML engineering projects, perform feature engineering and collaborate with teams to understand business problems
- Learn best practices in data / AI/ML engineering and performance optimization
- Contribute to research papers and technical documentation
- Contribute to project documentation and maintain data quality standards
Requirements
- BSc/MSc/PhD in computer science, data science or related discipline with 1+ years of industry experience building cloud-based ML solutions for production at scale
- Good problem solving skills, for both technical and non-technical domains
- Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning
- 3+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc)
- Hands-on experience building end-to-end data products based on AI/ML technologies
- Some experience with scenario simulations
- Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD
- Team player, eager to collaborate and good collaborator
Benefits
- Health insurance
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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