Cloak
Country : Singapore
  • Contract

Data Science Developer

Cloak is incorporated in 2011 to solve the problem of a lack of good data security SDKs to enable fast and flexible federated data security across cloud, mobile and desktop platforms. Between 2011 and 2015, we developed a suite of Security-as-a-Service (SaaS) built upon our patented Federated Data Sentry (FDS) Platform. Our enterprise customers can accelerate go-to-market time of their secure mobile and cloud applications by leveraging on our SDKs (https://cloakapps.com). We are now seeking great developers who are confident to design present and implement secure mobile and web solutions to our potential enterprise clients. Join us now and make the cloud a more secure place!

Responsibilities

You’re a curious and business driven builder, someone excited about creating software that works way better than competing solutions for global users. Together, we’ll create and iterate on data protection tools of the future—and grow our Cloak Apps user base, one referral at a time.

 

This position is with Cloak’s data science consulting team.  We help our enterprise clients makes smart decisions amid a fast moving and uncertain future, by transforming existing data into useful insights and compelling stories. You are expected to follow best-in-class processes of data preparation, data analytics, deep machine learning, visualization and business consulting to create rewarding values for our esteemed clients.  If you love bringing creative flair to complex challenges, and you’re pretty handy with cutting code as well as high intensity business preparation, our A-Team wants to talk with YOU.

 

Cloak enables security in cloud-based data storage and applications.  A fast growing startup, Cloak won multiple awards with its Cloak Apps Data Protection Software-as-Service. 

This is your opportunity to join an energetic and experienced team based in Malaysia Johor or Singapore, and build customized secure solutions for our enterprise customers, on multi-platforms such as iOS, Android, Mac OS X and Windows platforms.

 

Responsibilities:

•      Conceptualize, build and validate machine learning model using proven and experimental techniques.

•      Improve existing machine learning or suggest state-of-art solutions to achieve company's business goal, through activities such as define hypotheses, develop and execute necessary tests, experiments and analysis.

•      Develop machine learning solution based on team’s analysis

•      Present confidently your proposals, insights, findings and conclusions to our clients

Requirements

•      Masters / Ph.D. in Computer Science, Electrical/Computer Engineering, Operations Research or Mathematics/Statistics Preferred, Or

•      Top graduating degree in computer science.

•      Minimum 1 year of relevant experience with machine learning techniques and advanced quantitative analytics (e.g. regression, classification, clustering, time series).

•      Understanding of NLP, machine learning, deep learning, data mining, algorithmic foundations of optimization.

•      Proven problem-solving skills in complex and advanced technical subject.

•      Basic knowledge of digital marketing.


Advantages:

•      Proficient in one or more of the following programming languages: Python, R, Java, Scala.

•      Experience with machine learning framework (tensorflow, scikit-learn, Spark MLlib etc).

•      Experience in building ML models at scale, using real-time big data pipelines on platforms such as Spark/MapReduce.

•      Extensive knowledge of mobile & web technologies, mobile & web application design and development.

•      Solid background in programming in Swift, Objective C, Java, PHP, Ajax, Adobe Flex, SQL (relational DB). Knowledge in other programming languages including scripting languages is a plus.

•      Knowledge of crypto APIs on Web, iOS and/or Android platforms.

 

Please email hr@cloakapps.com for any queries.  We look forward to speak to you.


Total applicants :23 Job posted 2 months ago Total Views : 234 Unique Views : 234 Today Views : 10


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