Deep Learning Intern (On-site)

Location – Bangalore, India. Employment Type – Internship

About us

Flux Auto builds autonomous vehicle technology for commercial and industrial applications.

Flux Auto was founded in 2017 with the goal of democratizing autonomous vehicle technology and bringing its advantages to vehicles - current and old - around the world. We develop various hardware and software technologies to make vehicles move and operate autonomously. Every day our engineers are working to solve new and unique challenges for our clients in India and North America.

We are a multidisciplinary team solving some of the most challenging problems in autonomous technology and robotics. Join us in our journey to democratize autonomous mobility!

Experience required: 0-1 years

About the role

Looking for an engineer to apply Deep Learning algorithms to implement and improve perception algorithms related to Autonomous vehicles. The position requires you to work on the full life-cycle of Deep learning development including data collection, feature engineering, model training, and testing. One will have the opportunity to implement a state-of-the-art Deep learning algorithm and apply it to real end-to-end production.

You will be working with the team and team lead on challenging Deep Learning projects to deliver product quality improvements.

Responsibilities

- Build new deep learning models for real-time detection and tracking of objects.
- Find current ways to apply deep learning to predict the future behavior of other road users.




- Creatively and collaboratively build new deep learning models that can predict the future behavior of other road users in real-time.
- Develop efficient Deep Learning architectures that can run in real-time.

Requirements:
- Languages: Python, C++.
- Frameworks: Tensorflow, Pytorch, ONNX, and Keras.
- Good understanding of Linux and version control (Git, GitHub)
- Skilled with software design, development, and bug-fixing.
- Experienced with OpenCV, Deep Learning to solve images domain problems.

Good to Have:
- Frameworks: Caffee, TensorRT.
- OpenCV projects, Deep Learning projects.
- Experience with deploying Deep Learning models for real-time applications.
- Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN,GAN, etc.)

Equal Opportunity Employer: Flux Auto's employment decisions are made without regard to race, color, religion,

national origin, gender, sexual orientation, age, gender identity, genetic factors,

military/veteran status or other characteristics protected by law.

Vaccination Requirements

Flux Auto is implementing new requirements for employees to be fully vaccinated from

COVID-19.

For further information,

Contact us on www.fluxauto.xyz or

Phone number: +91 85508 55800

Apply Now!

Job Types: Full-time, Permanent

Benefits

- Adaptable schedule
- Paid sick time
- Paid time off
- Provident Fund
- Work from home

Ability to commute/relocate:
- Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):
- What is your expected stipend?

Work Location: In person

📌 Deep Learning Intern (On-site) (Bengaluru)
🏢 Flux Auto
📍 Bengaluru