Z3_Senior Deep Learning Engineer (Engineering / 3D AI)

NTT DATA, Inc.; Bengaluru; Vor Ort; INR 3.500.000 - 6.000.000; Vollzeit

Zusammenfassung

NTT DATA is seeking a Z3_Senior Deep Learning Engineer (Engineering / 3D AI) to join our team in Bangalore, Karnataka, India. The role focuses on deep learning, computer vision, and 3D data processing for applications in manufacturing, robotics, and autonomous systems.

Ideal candidates will have expertise in CNN/RNN/LSTM, Transformers, PyTorch, and TensorFlow, with strong math fundamentals and programming in Python (primary), C++, or C#.

Qualifikationen

• Deep Learning model development
• Computer Vision
• 3D Vision
• Geometric Deep Learning
• Robotics AI

Kenntnisse

CNN

RNN

LSTM

AutoEncoder

Transformer

Vision Transformer

GAN

VAE

Tools

PyTorch

TensorFlow

Jobbeschreibung

We are currently seeking a Z3_Senior Deep Learning Engineer (Engineering / 3D AI) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

1. What profile should HR target?

Target candidates who have worked on:

• Deep Learning model development (not just AI application development)
• Computer Vision
• 3D Vision
• Geometric Deep Learning
• Robotics AI
• Autonomous Driving
• Medical Imaging (3D)
• Digital Twin
• Manufacturing AI

Avoid profiles that are only into:

• ChatGPT integrations
• Prompt Engineering
• LangChain
• RAG

These are not sufficient for this role.

2. Mandatory Technical Skills

HR should look for resumes containing multiple keywords from the below list.

• CNN
• RNN
• LSTM
• AutoEncoder
• Transformer
• Vision Transformer
• GAN
• VAE

Frameworks

• PyTorch (Preferred)
• TensorFlow

Mathematics

Look for:

• Matrix Operations
• Optimization
• Probability
• Statistics

Programming

Must have one or more:

• Python
• C++
• C#

Python should preferably be the primary language.

3. Engineering / 3D Skills (Very Important)

Candidates with any of these should be prioritized.

3D Data

• Point Clouds
• Mesh Processing
• Surface Reconstruction
• Geometry Processing
• CAD Geometry
• JT Files
• STEP
• STL
• OBJ
• BREP

CAD

• NX Open
• JT Toolkit
• CATIA
• Creo
• SolidWorks

Excellent keywords include

• PointNet
• PointNet++
• DGCNN
• MeshCNN
• Minkowski Engine
• Sparse CNN
• Geometric Deep Learning

4. Preferred Domains

Recruiters should prioritize candidates from:

• Automotive
• Robotics
• Manufacturing
• CAD/CAM
• CAE
• Simulation
• Autonomous Vehicles
• Digital Twin
• Aerospace

Medical Imaging (3D)

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

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