Data Scientist

Overview

Experience: Notice Period: Immediate to 20 Days

Experience must have - 6-8 Years

Job Description:-

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