Description The Machine Intelligence Developer is be responsible for developing solutions using Machine Learning and Artificial Intelligence solutions that deliver insights to enterprise customers. The resource would be expected not only to develop predictive analytics based solutions but also articulate this as actionable insights.

The position reports to The Artificial Engineering – Lead Manager and will work with extended team members from Business Intelligence, Data Engineering, Corporate IT and business partners across gaming, hospitality, marketing and corporate functions.

RESPONSIBILITIES
* Should work as individual contributor for deliverables with minimal supervision to deliver solutions but also be able to collaborate with other data scientists and analysts to design, implement and execute AI projects.
* In collaboration with extended team, define, design and develop tools based on AI technologies.
* Perform advanced predictive modelling to unearth key metrics and define success.
* Inclined to learn new technologies that align with organizational goals
* Ability to train and mentor junior resources in Advanced analytics and across teams.
 

Skill/Experience/Education

Mandatory POSITION REQUIREMENTS * Masters with 4 years/ PHD with 2 years/ Bachelors with 6+ years in in Advanced Analytics, Machine Learning and/or AI. * Excellent understanding of understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Regression and others * Extensive predictive analytics experience using supervised and unsupervised learning techniques with Python/R * Good applied statistics skills, such as distributions, statistical testing, and regression. * Experience with big data technologies such as Hadoop, Spark and others * Strong written and verbal communication skill
 
Desired PREFERRED


* Exposure in Deep Learning, Natural Language Processing, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence


* Experience with Deep learning platforms such as TensorFlow


* DevOps knowledge is a plus


* Experience with data and machine learning services using Azure, Amazon Web Services (AWS), and / or Google Cloud

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