Deloitte US GLS India Hyderabad Machine Learning Software Engineer Jobs | Bachelor’s Degree or equivalent | Apply Now

Dec 30, 2018 | IT Jobs , Deloitte | 0 comments

Deloitte US GLS India is a leading multinational professional service providing company.

In the latest job notification, Deloitte India announces job vacancies for Machine Learning Software Engineer post, with work location in Hyderabad.

Under Deloitte Hyderabad Machine Learning Software Engineer Jobs 2018, candidates completed a Bachelor’s Degree or equivalent and have required skills programming languages, and know machine learning concepts can apply.

Job responsibility will be to Design and develop highly scalable, machine learning applications, processing massive amounts of data; Develop advanced analytics solutions using statistical modeling, machine learning algorithms, analytics, etc… to answer business questions and derive insights & others.

The selected candidate will be recruited with a permanent and full-time job.

An interested and qualified candidate has to apply through online mode.

Job Summary Details:

Job Designation: Big Data & Machine Learning Engineer.

Job Code Number: E19HUSANAM-MLEN.

Educational Qualification: BS/MS or higher degree in Computer Science/Math/Statistics/Economics or related field.

Experience: 4-6 Years.

Job Location: Hyderabad.

Apply Mode: Online.

Key Skills:

Experience with key machine learning concepts, models, and evaluation methodologies.

Experience with machine learning and cognitive algorithms (supervised learning, clustering, dimensionality reduction, prediction, neural nets, reinforcement learning, feature engineering, information retrieval).

Experience designing and operationalizing large-scale systems built around machine learning models and big data.

Strong experience with specific algorithms such as k-nearest neighbors, Naïve Bayes, linear and logistical regression, discriminant analysis, classification & regression trees, learning vector quantization, support vector machines, and random forest.

Experience with programming languages – Python, R, C# .NET, Java.

Experience with visualization tools such as Tableau and PowerBI.

Strong experience with data structures and writing algorithms.

Ability to quickly prototype and handle ambiguity.

Experience with visualization technologies, such as Tableau and PowerBI.

Experience in producing scalable and robust production-quality solutions.

Experience with distributed computing platforms, such as Spark, DataBrix, and Hadoop.

Experience with cloud computing, Azure preferred.

Strong communication skills.

Knows what is possible using the latest technologies (open source, data stores, algorithms, etc.).

A firm sense of accountability and ownership.

Passionate about making things better and driving action.

A desire to understand our businesses and users.

How to apply:

An interested and qualified job applicant has to apply through online mode, by initially registering with Deloitte company career portal and login to apply.

Apply Now: https://jobs2.deloitte.com/ui/en/job/DELOA003X245120/Senior-Analyst-Machine-Learning-Engineer-Hyderabad.

Subscribe for Job Alerts

Join our mailing list to receive the latest news and updates from jobalertshub.com.

Subscribe

Related Organizations

Organization Vacancies
TCS Recruitment -
Capgemini Recruitment -
Cognizant Recruitment -
Wipro Recruitment -
Siemens Recruitment -
Tech Mahindra Recruitment -
IBM Recruitment -
Accenture Recruitment -
CGI Recruitment -
Deloitte Recruitment -
Amazon Recruitment -
NTT DATA Recruitment -
DXC Technology Recruitment -
Infosys Recruitment -
S&P Global Recruitment -
Cyient Recruitment -
SAP Recruitment -
Oracle Recruitment -
VMware Recruitment -
Hitachi Consulting Recruitment -

0 Comments

Leave a reply

Your email address will not be published. Required fields are marked *


Follow Us

Subscribe For Job Alerts


Join our Telegram Community

Latest Govt Jobs

Subscribe To Our Newsletter

Subscribe For Jobalerts

Join our mailing list to receive the latest job news and updates from our team.