AI Engineer Job at DCverse (Delhi, India): A rewarding full-time opportunity offering an annual CTC of ₹12,00,000 – ₹25,00,000. Candidates with 2-4 years of experience are encouraged to apply by 8th November 2024.
Table of Highlights
| Feature | Details |
|---|---|
| Company | DCverse |
| Position | AI Engineer |
| Location | Delhi, India |
| CTC (Annual) | ₹12,00,000 – ₹25,00,000 |
| Experience Required | 2-4 years |
| Start Date | Immediately |
| Application Deadline | 8th November 2024 |
| Perks | Informal dress code, Free snacks & beverages |
| Number of Openings | 2 |
About DCverse
DCverse is a pioneer in developing hyper-realistic virtual influencers to enhance marketing returns for brands and individuals. The company is pushing the boundaries of AI to create virtual humans capable of real-time interaction and engagement. One of their leading projects includes Kshan, India’s first virtual influencer.
Key Responsibilities
As an AI Engineer at DCverse, your primary responsibilities will include:
- Model Development: Designing and training AI/ML models focused on virtual human technology, particularly for emotion detection, facial recognition, and speech synthesis.
- Data Preprocessing: Ensuring datasets are clean, properly labeled, and ready for model training.
- Collaboration & Optimization: Working alongside senior engineers to implement and optimize deep learning models using frameworks like TensorFlow, Keras, or PyTorch.
- Model Deployment: Assisting in the deployment of AI models, ensuring they perform efficiently in real-time applications.
- Model Evaluation: Conducting evaluation and fine-tuning of models to improve accuracy, performance, and overall efficiency.
- Innovation & Research: Contributing to cutting-edge research in AI applications for digital humans and experimenting with new machine learning techniques.
Skills Required
The ideal candidate should have proficiency in the following areas:
- Golang
- Machine Learning
- Natural Language Processing (NLP)
- Python
- Deep Learning frameworks like TensorFlow, Keras, or PyTorch
- Data Preprocessing & Feature Engineering
- Cloud Platforms such as AWS, GCP, or Azure for model deployment
Who Can Apply
- Candidates with minimum 2 years of experience working on AI/ML models in a professional setting.
- Proficiency in Python and machine learning libraries like TensorFlow, Keras, or PyTorch is essential.
- Strong understanding of machine learning algorithms and experience in NLP, computer vision, and deep learning.
- Familiarity with working on large datasets and managing data preprocessing.
- Experience with cloud platforms for machine learning model deployment.
- Strong problem-solving skills and the ability to work independently and in teams.
- A genuine passion for AI, virtual human technology, and the future of digital influencers.
Q&A Section
1. What is the main focus of the AI Engineer role at DCverse?
The main focus is to develop AI models for virtual humans that specialize in emotion detection, facial recognition, and speech synthesis, alongside contributing to AI/ML innovation.
2. What skills are required to excel in this AI Engineer Job?
You need to be proficient in Python, machine learning frameworks like TensorFlow and PyTorch, and have a strong understanding of NLP, computer vision, and deep learning. Experience in data preprocessing and familiarity with cloud platforms is also essential.
3. How many years of experience are required for this AI Engineer Job?
You need a minimum of 2 years of experience working on AI/ML models in a professional environment.
4. What is the salary range for this AI Engineer Job?
The annual salary range is ₹12,00,000 to ₹25,00,000 based on experience and skill level.
5. How many positions are available?
There are 2 openings for the AI Engineer role.
6. What perks are offered with this AI Engineer Job?
DCverse offers an informal dress code, along with free snacks and beverages at work.
7. What kind of projects will I work on?
You’ll work on developing and improving virtual human technology, with a focus on emotion detection, speech synthesis, and AI-powered interactions.
8. What are the working hours for this AI Engineer Job?
Standard working hours apply, though this may vary based on project requirements.
9. What cloud platforms are preferred for deployment?
DCverse prefers cloud platforms like AWS, Google Cloud (GCP), or Azure for deploying machine learning models.
10. How should I prepare for the technical interview?
Focus on brushing up your deep learning, NLP, and computer vision skills. Be prepared for coding challenges in Python and questions related to TensorFlow, PyTorch, or Keras.
Tips & Tricks to Crack the Interview
1. What should I focus on during the interview?
Highlight your experience in deep learning, NLP, and emotion detection technologies. Discuss how you have contributed to similar AI/ML projects.
2. How can I showcase my technical skills?
Bring examples of past projects where you applied deep learning models and frameworks like PyTorch or TensorFlow. Showcase your contributions to data preprocessing and model optimization.
3. What can I expect during the coding round?
Be prepared for tasks related to deep learning frameworks, NLP algorithms, and model tuning in Python.
4. How can I demonstrate my problem-solving skills?
Share specific examples of challenges you faced while working on machine learning models and how you addressed them, particularly in areas like model performance improvement or cloud deployment.
5. How should I prepare for AI-related questions?
Review key AI/ML topics such as neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and NLP models.
AI Engineer Job | DCverse (Delhi, India)
Location: Delhi, India
Annual CTC: ₹12,00,000 – ₹25,00,000
Start Date: Immediately
Experience: 2-4 years
Apply By: 8th November 2024
Work Type: Full-time
How to Apply
To apply for the AI Engineer position at DCverse, submit your application by 8th November 2024.
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Comment: This AI Engineer role at DCverse looks like an incredible opportunity for those passionate about the future of virtual human technology and real-time AI applications. The focus on emotion detection, facial recognition, and speech synthesis is particularly exciting. I am eager to apply my experience in deep learning and NLP to contribute to this innovative field. Looking forward to the opportunity to make an impact!