Job Description

Experience: Notice Period: Immediate to 20 Days

Experience must have - 6-8 Years

:-

We are seeking a talented and experienced

Generative AI Specialist

to join our team. The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence, with a focus on generative models.

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.

Machine Learning and Deep Learning:

Apply machine learning and deep learning techniques to solve complex problems and create innovative solutions.

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