Data Scientist

Experience: 2-3 years | Location: Bengaluru, Chennai (Hybrid)

Akaike Technologies is a dynamic and innovative AI-driven company dedicated to building impactful solutions. Our mission is to empower businesses by harnessing the power of data and AI to drive growth, efficiency, and value. We foster a culture of collaboration, creativity, and continuous learning.

Job Description:

We are looking for a proficient Data Scientist to join our team in Bengaluru. This role involves research, experimentation, and development of advanced generative AI models/architectures, primarily focusing on audio and video generation to enhance content production on the JHS platform. The ideal candidate will have hands-on experience in deep learning, strong problem-solving skills, and the capacity to contribute to production-grade AI solutions rapidly.

Key Responsibilities

• Design, prototype, and refine deep learning models for text-to-video and image-to-video generation using generative AI (e.g., diffusion models, transformers, temporal GANs)
• Work with lead data scientist on ongoing challenges to define use cases, set priorities, and bring production-grade AI systems to life
• Develop robust pipelines for dataset curation, preprocessing, training, and model evaluation, including automated visual, temporal, and semantic quality metrics
• Stay ahead of the curve in the fast-moving GenAI space; guide strategy, share insights internally, and represent the team in technical forums as needed
• Take ownership of works involved in and should be proactive in any communication
• Involve in experimentation SOTA models to achieve greater outcome for JHS as a platform.

Must Have Technical Skill

• Deep expertise in Transformer-based architectures (e.g., BERT, GPT, T5, ViT). The ideal candidate has strong theoretical understanding and hands-on experience building, training, optimizing, and deploying transformer models for real-world applications.
• Strong understanding and hands-on experience with LLMs, including fine-tuning, prompt engineering, and evaluating foundation models for multimodal generative applications.
• Proven experience with deep learning architectures for generative tasks, including diffusion models, transformers, and GANs.
• Solid grasp of computer vision, natural language processing, and multimodal learning concepts.
• Experience in training large-scale models, transfer learning, and fine-tuning custom datasets.

Must Have Soft Skills

• Effective communication skills to articulate complex technical details and collaborate across teams.
• Proactive ownership and problem-solving mindset to independently drive tasks forward.

Benefits and Perks

Competitive compensation and ESOP grants.

Support for publishing papers and participation in academic/industry conferences.

High visibility within organization and opportunity to work closely with high-impact teams.