Company Name:-
Mercedes-Benz Research and Development India Priva…

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Aufgaben
Job Specifications for Data Analytics Architect
DA4AD@MBRDI: Excited about driving the future of mobility autonomously, Mercedes Benz R&D India gives opportunity to data enthusiasts to discover, find patterns, analyse data, make predictions using ML/DL and communicate data with meaningful insights.

We are a group of people in DA4AD team (Data Analytics for Automated Driving) who are on a mission to build artificial intelligence enabled systems for vehicles.

We provide research opportunities for solving the key problems in automated/autonomous driving domain, connected vehicle, & safety critical features.

What we do as DA4AD team @MBRDI: Real-world data rarely comes clean and we have tons of real world data collected over a period of time across the globe from our Mercedes vehicles.

We work in an ecosystem where massive amount of complex data being processed everyday (volume, variety, & velocity).

We focus on statistical analysis to unleash different aspects of data to solve research problems of mobility business (ex: driver-less cars).

The learning algorithms been trained on these real datasets which are unlike very different, sophisticated and complex from public datasets and tested for higher accuracies using different quality metrics.

We builds artificial intelligence algorithms for better mobility experience using state-of-the-art machine learning algorithms & deep learning networks.

Software tools & platform development for providing e2e analytical solution for mobility business.

Education: Bachelors or Masters in Computer Science, Electrical/Electronic Engineering from tier-I universities
Relevant Experience Required: 6 years to 10 years
Skill Requirements:
Essential Skills:Strong programming skills with Python(numpy, pandas)Strong programming skills with Pyspark, SparkSQLStrong skills in RDBMS and SQL programmingStrong skills in application of Machine learning and Deep learning algorithms to real world problemsGood understanding of underlying theory of ML and DLStrong experience on architecting End2End BI & analytics solutions on Azure cloudGood to have: Know-how on working with Data Bricks, HD Insights, Azure Data FactoryGood to have: Elastic search and Kibana know-howGood to have: Deployment e

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details