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KPIT Technologies is a global partner to the automotive and Mobility ecosystem for making software-defined vehicles a reality. It is a leading independent software development and integration partner helping mobility leapfrog towards a clean, smart, and safe future. With 10000+ automobelievers across the globe specializing in embedded software, AI, and digital solutions, KPIT accelerates its clients’ implementation of next-generation technologies for the future mobility roadmap.
KPIT Technologies Careers Opportunities for Graduate Freshers, Entry Level, Mid Level and Experience Professionals in various domains such as Engineering, Technology, Digital, Finance, Data, Finance, Cyber and Robotics, AI, and many more 2024
With engineering centers in Europe, the USA, Japan, China, Thailand, and India, KPIT works with leaders in automotive and Mobility and is present where the ecosystem is transforming.
Exciting Opportunity Alert!
KPIT Careers Opportunities for Graduate Entry Level Role 2024
Analyst / Sr. Analyst
Skill – HIL Testing
Experience: 3+ Years.
Location: Bangalore, Pune (Immediate Joiner Preferred)
Interested Candidates, please share your Resume to: akritiv@kpit.com
Don’t miss this opportunity to accelerate your career with KPIT Technologies!
Your journey Toward innovation in the automotive industry begins here.
For more details to apply, Click here!
Data Science Engineer – Brazil
EXPERIENCE: 2-5 Years
Job Description:
Smart, Versatile, Dynamic, and Solution engineers for building analytics using AI/ML involve using advanced data analysis techniques, machine learning algorithms, and artificial intelligence technologies to build predictive and prescriptive analytic models.
In this role, the engineers would be involved in creating exclusive IP solutions by covering all aspects of design, implementation, and validation.
The engineers are expected to work with a global team to build in-vehicle network solutions for Automotive OEMs and their suppliers.
Data sourcing and preparation: Identify relevant data sources, gather and clean data, and transform it into a structured and usable format for analysis.
Model development and implementation: Develop AI and machine learning models using appropriate algorithms such as regression, classification, clustering, deep learning, or reinforcement learning. Implement these models into production systems for real-time analysis and decision-making.
Feature engineering: Identify and engineer meaningful features from data that capture the relevant information needed for the analysis.
This may involve creating new variables, aggregating data, or selecting the most important features using techniques like principal component analysis or feature selection algorithms.
Experimentation and evaluation: Design and conduct experiments to evaluate the performance and effectiveness of different models and algorithms. Use appropriate evaluation metrics to assess model accuracy, precision, recall, or any other relevant performance measures.
Model validation and deployment: Validate the developed models using testing data and ensure they meet desired performance goals. Create documentation and guidelines for deploying and using the models in production environments.
Job Requirements:
Data sourcing.
Develop AI, Knowledge & Some experience in AI/ML tools & Algorithm.
Python, Any statical programming language, SQL, Tableau, BigQuery, C++ Programming, Linux, Visual Studio, GIT.
Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems.
Knowledge & Some experience with AI/ML tools & algorithms.
Building analytics using AI/ML requires a mix of technical skills including data manipulation, machine learning algorithms, statistical analysis, data visualization, feature engineering, deep learning, model evaluation, software engineering, problem-solving, communication, and collaboration skills.
TensorFlow, and PyTorch to build and train neural networks, and model validation.
Good understanding of data structures and algorithms.
Understanding of OOPs concepts.
Linux system software knowledge.
Knowledge of multi-threaded programming and associated constructs.
Knowledge of version control software development and management such as git gitlab or GitHub.
Knowledge of SDLC phases.
For more details to apply, Click here!
General Job Applications – USA / 20 Openings
EXPERIENCE : 0-10 Years
Reimagining mobility with you for the creation of a cleaner, smarter & safer world.
Job Description:
This requisition can accept job applications from any interested applicants (irrespective of suitability for the published positions) from the US/Canada/Mexico, interested in exploring a career opportunity with KPIT.
While our voyage is focused on Vehicle Software and Mechatronics, we strongly believe in diversifying our talent pool.
So, we strongly recommend that you apply if your career aspirations are towards one or more skills from the below list:
Embedded C.
Model-Based Development.
Autosar.
HIL.
Infotainment.
Verification & Validation.
OBD.
Engine domain.
ADAS.
Machine Learning.
Mechatronics.
Any other vehicle software engineering technologies.
Business management functional skills.
Requirement
ESSENTIAL SKILLS /COMPETENCIES
Any
