Developer Machine Learning

Developer Machine Learning

Abu Dhabi United Arab Emirates
7-10 years
Not Specified

Job Description

Job Description
Machine learning engineer sits at the intersection of software engineering and data science. He/She leverages big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed. Design and Build programs that control computers and robots. The algorithms developed by machine learning engineer enable a machine to identify patterns in its own programming data and teach itself to understand commands and even think for itself as a human beings
Feed data into models defined by data scientists. He/she also responsible for taking theoretical data science models and helping scale them out to production-level models that can handle terabytes of real-time data. Design machine learning systems and create artificial intelligence products. Design and Build Machine Learning Algorithms covering all different logics of Supervised and unsupervised Machine and neural networks. Responsibilities include creating machine learning models and retraining systems. Study and transform data science prototypes Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks
Bachelor’s Degree in Computer Science, Statistics, Applied Math or related field
7+ years’ practical experience with Oracle ,SAS, ETL, data processing, database programming and data analytics Extensive background in data mining and statistical analysis Relevant experience in O&G Retail is an advantage Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modelling skills
Experience with Excel, PowerPoint, Tableau, Spotfire, SQL, and programming languages (i.e., Java/Python, SAS and Analytics Solutions) Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Relevant certifications and trainings in Data Sciences from SAS, Microsoft, IBM, Dell etc.

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