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Data Science & Machine Learning Architect

Keywords / Skills : AWS, GCP, AZURE, Machine Learning, Data Science

12 - 14 years
Posted: 2019-07-18

IT/Computers - Software
Software Engineer/ Programmer
Posted On
18th Jul 2019
Job Description
About Product Team:
You will be part of the team working on next generation analytics product that will process a data lake to discover and manage information hidden in the data and thereby offer solutions that meet the data governance and security needs of CIO, CISO and CDO of our customers. You will architect this data lake processing system and work with the team to design and implement advanced data analytics techniques as well as machine learning models towards building the product. You will have an opportunity to build this system at global scale on a cloud SaaS platform with petabyte scale data lake with a huge variety of unstructured data. You will collaborate with the developers, product managers, senior executives and other data scientists to evolve the architecture of the product and fine tune the system.

Skills & Qualifications:

  • Expertise and hands-on experience in statistical and machine learning model development and implementation.
  • Hands-on experience in applying data mining techniques and statistical analysis to building prediction and recommendation systems.
  • Experience in data discovery, analysis, data collection, integration, and organization services.
  • Understanding of application of machine learning and AI for data processing and information management in an enterprise is a MUST.
  • Exposure to data governance and data security applications that leverage data science and machine learning is a plus.
  • Experience with machine learning services offered by AWS, GCP, Azure is a plus.
  • 12+ years of industry experience in the domain of machine learning and data science.
  • Advanced degree in Computer Science with specialization in machine learning a must.

Role and Responsibilities:

  • Collaborate with other stakeholders including product managers and engineering teams to design and implement machine learning applications in an agile based software development life cycle.
  • Define and integrate machine learning models into the analytics product on the large-scale SaaS platform. Tweak and tune the models as per the needs of the product while keeping the cost benefit analysis in mind.
  • Influence the definition and direction of the product based on effective use of machine learning for various data management business needs.
  • Stay up to date on latest open source machine learning tools and libraries.
  • Help assess other products and technologies that heavily leverage machine learning.

About Company

Druva is the global leader in Cloud Data Protection and Management, delivering the industry’s first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence–dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it.

Druva’s award-winning solutions intelligently collect data, and unify backup, disaster recovery, archival and governance capabilities onto a single, optimized data set. As the industry’s fastest growing data protection provider, Druva is trusted by over 4,000 global organizations, and protects over 40 PB of data.
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About Recruiter
Swati Halale
Principal Recruiter
Druva Data Solutions Private Limited
Skills I hire for Storage
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