Data Scientist
1 week ago
**Experience: Notice Period: Immediate to 20 Days**
**Experience must have - 6-8 Years**
**Job Description:
- **
This role involves developing, implementing, and optimizing AI models to drive innovation and efficiency within our projects.
- **Must Have:
- GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures**_
**Key Responsibilities**:
- Develop and Implement Generative Models: Design, develop, and implement generative models using state-of-the-art techniques and frameworks such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures.
- **Data Preparation and Analysis**: Collect, preprocess, and analyze large datasets to train AI models. Ensure data quality and integrity throughout the process.
- **Collaboration**:Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI solutions into existing systems and workflows.
- **Research and Innovation**:Stay up-to-date with the latest advancements in AI and machine learning.
- Conduct research to explore new techniques and methodologies that can be applied to our projects.
- **Documentation**: Maintain comprehensive documentation of models, experiments, and processes to ensure reproducibility and knowledge sharing within the team.
**Job Types**: Full-time, Permanent
Pay: ₹3,000,000.00 - ₹3,500,000.00 per year
**Benefits**:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Schedule:
- Day shift
- Monday to Friday
Ability to commute/relocate:
- Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (preferred)
**Experience**:
- Generative Adversarial Networks: 6 years (required)
- Variational Autoencoders: 6 years (required)
- Data science: 8 years (required)
Work Location: In person
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