Data Scientist (Gen AI)

Location: Hybrid/Onsite

Team: AI/ML R&D

Type: Full-Time

Were looking for a highly skilled, hands-on Data Scientist with 410 years of experience in applied AI/ML to join our fast-paced, research-driven team. This role demands deep expertise in transformer architectures along with strong fundamentals in model training, fine-tuning, and optimization.

You will work across text, audio, and video modalities , with the opportunity to specialize deeply in one area while maintaining the versatility to experiment across others. If you thrive in a startup-style, high-velocity R&D environment and enjoy taking ownership from architecture to deployment, this role is for you.

What You'll Do

Model Development & Fine-Tuning

• Run end-to-end experiments on transformer-based architectures (LLMs, Whisper, diffusion, LoRA, RLHF/SFT, multimodal models).
• Prototype, benchmark, and push the limits of emerging generative AI techniques.

Domain-Specific Applications

Audio

• Lip-sync accuracy
• Emotional delivery (whispering, shouting, crying)
• Regional language model support

Video

• Character & scene consistency
• Quality outputs comparable to Veo3/Sora
• Motion smoothness & frame coherence

Text

• Extend LLMs to handle regional languages
• Build domain-adapted, fine-tuned models

Evaluation & Optimization

• Build automated evaluation pipelines for audio, video, and image quality scoring.
• Optimize trade-offs between speed, quality, and compute efficiency.

Cross-Modality Integration

• Experiment with audiovideo synchronization.
• Integrate background score generation and text-to-video alignment.
• Push the boundaries of multimodal generative systems.

Research & Experimentation

• Stay ahead of rapidly evolving AI models, tools, and techniques.
• Test architectural variations and scaling strategies for production-ready systems.

Ownership & Execution

• Take complete ownership of projects from idea prototype deployment.
• Demonstrate strong problem-solving, accountability, and first-principles thinking.

What You'll Need

Experience

• 410 years in applied ML/Data Science with significant generative AI experience.

Core Fundamentals

• Deep understanding of transformer architectures, training dynamics, and model optimization.
• Experience with LLMs, diffusion models, and multimodal architectures.

Modality Expertise

• Depth in at least one modality (text, audio, or video) with end-to-end project delivery.

Technical Skills

• Strong coding skills in Python .
• Expertise with frameworks like PyTorch or TensorFlow .
• Experience with deployment frameworks (e.g., FastAPI , model servers).

Evaluation Experience

• Ability to design and implement automated evaluation systems for generative outputs.

Adaptability

• Comfort with rapid experimentation and learning new tools, models, and techniques.