Job Summary :
Experience in Data Collection with Hardware like IMU sensors, ECU, Raspberry Pi, Micro-controllers, IoT devices, Cameras, Add-on boards.
Experience with Automotive CAN Data handling is an added advantage.
Knowledge of the Data Science Projects in Python and related data science libraries, other platforms like Java, C++ is an added advantage.
Experience in Database Systems (SQL and NOSQL), Data APIs
Experience with Azure ML - data ingestion, storage, pre-processing, model development and potentially deployment.
Experience with Manufacturing or Industrial Engineering projects is an added advantage.
Job location and reporting will be in Bangalore, India
Strategic Context and Challenges :
Should coordinate with engineers located at different global technical centers.
Should coordinate with external suppliers like consultants and IT support and services.
Should be ready to travel to different locations for meetings / trainings.
Should take responsibility and ownership of the deliverables of self and supporting team.
Should be able to understand and interpret the solution outcomes
Should do conclusive analysis of the results.
Should make quality and timely delivery of the tasks and projects.
Should learn and create new methods to execute different tasks and multiple projects at same time.
Should possess good communication skills.
Should be keen to learn / explore new methods / processes.
Should adapt to changing business scenario.
Core Responsibility :
Execution of Identified business problem from Technical and business / sales team.
Data Integration should complement with formulated AI / ML problem and brainstorm possible AI / ML solutions.
Assess feasibility and value.
Execution / implementation of the selected solution on his / her own.
Deployment, maintenance, and life-cycle management.
Functional Competencies :
Good exposure in Data Collection with Hardware like IMU sensors, ECU, Raspberry Pi, Micro-controllers, IoT devices, Cameras, Add-on boards.
PLM and Cloud infrastructure platforms
Project management tools - MS Office tools
Education and Work Experience :
ME / MTech / MCA. in Data Science or related Engineering (Desired)
BE / B.Tech in Computer Science or Electronics Engineering (Mandatory
At least 2 - 4 years of working experience in the relevant field
Experience with Manufacturing or Industrial Engineering projects is an added advantage