Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.
About the role
- AI/ML Engineer on the Global Data Analytics team at Maersk. Designing and implementing intelligent solutions for enhancing supply chain execution and decision-making.
Responsibilities
- Design, develop, and implement robust, scalable, and optimized machine learning and deep learning models
- Research and implement new models, technologies, and methodologies
- Independently manage and optimize data solutions
- Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions
Requirements
- BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale
- 4+ years of hands-on experience building ML solutions in Python
- Good problem solving skills
- Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning
- Hands-on experience building end-to-end data products based on AI/ML technologies.
Benefits
- 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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