Amazon Network Project Lead - EMEA Infrastructure Delivery Deployment 

Ireland, Dublin 

657597613

Key job responsibilities
The position requires hands-on expertise in Analytics to identify and isolate issues, Statistical Modeling and traditional Machine Learning, the ability to write queries to aid in data extraction, and the ability to productionalize models.. This role is a self sufficient scientist that can source data, build and evaluate models, and ultimately take those models and rules to deployment. You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate, hard-working and creative person who loves business, loves solving difficult problems and doesn’t mind getting involved in the details.A day in the lifeUtility Computing (UC)
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- 5+ years of designing experiments and statistical analysis of results experience
- Experience programming in Java, C++, Python or related language
- PhD or equivalent Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, Operations Research or in another highly quantitative field
- 3+ years of hands-on industry experience working with large scale ML problems, end to end
- Ability to develop and deploy (in partnership with engineers) Machine Learning models that power specific applications
- 5+ years with Statistical Analysis and Modeling tools like Python, R, Matlab or similar
- Skilled in various Statistical and traditional Machine Learning methods such as tree-based models
- Able to write SQL scripts for analysis and reporting
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
- Enjoys working in a team environment

- Experience using Unix/Linux
- Experience in professional software development
- 4+ years of applied ML experience in a quantitative filed
- Solid software development experience
- Experience with Natural Language Processing and Deep Learning Models in general
- Knowledge of AWS Infrastructure, Redshift
- Knowledge of AWS services such as EC2, Sagemaker
- Predictive Analytics
- Any Hadoop, NoSQL Database & Technology